diff --git a/static/data/embeddings/meta.json b/static/data/embeddings/meta.json
index 8f77c51..a336471 100644
--- a/static/data/embeddings/meta.json
+++ b/static/data/embeddings/meta.json
@@ -1 +1 @@
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aritima","iNatAg-mini/alnus_nepalensis","iNatAg-mini/alnus_rubra","iNatAg-mini/alocasia_macrorrhizos","iNatAg-mini/aloe_arborescens","iNatAg-mini/aloe_barbadensis","iNatAg-mini/aloe_ferox","iNatAg-mini/aloe_perryi","iNatAg-mini/alopecurus_arundinaceus","iNatAg-mini/alopecurus_carolinianus","iNatAg-mini/alopecurus_geniculatus","iNatAg-mini/alopecurus_myosuroides","iNatAg-mini/alopecurus_pratensis","iNatAg-mini/alopecurus_rendlei","iNatAg-mini/aloysia_triphylla","iNatAg-mini/alphitonia_excelsa","iNatAg-mini/alpinia_galanga","iNatAg-mini/alstonia_scholaris","iNatAg-mini/alternanthera_pungens","iNatAg-mini/althaea_officinalis","iNatAg-mini/altingia_excelsa","iNatAg-mini/alysicarpus_monilifer","iNatAg-mini/alysicarpus_ovalifolius","iNatAg-mini/alysicarpus_rugosus","iNatAg-mini/alysicarpus_vaginalis","iNatAg-mini/alyssum_desertorum","iNatAg-mini/amaranthus_albus","iNatAg-mini/amaranthus_blitum","iNatAg-mini/amaranthus_caudatus","iNatAg-mini/amaranthus_cruentus","iNatAg-mini/amaranthus_dubius","iNatAg-mini/amaranthus_hybridus","iNatAg-mini/amaranthus_hypochondriacus","iNatAg-mini/amaranthus_lividus","iNatAg-mini/amaranthus_retroflexus","iNatAg-mini/amaranthus_speciosus","iNatAg-mini/amaranthus_spinosus","iNatAg-mini/amaranthus_tricolor","iNatAg-mini/amaranthus_viridis","iNatAg-mini/ambelania_acida","iNatAg-mini/ambrosia_acanthicarpa","iNatAg-mini/ambrosia_artemisiifolia","iNatAg-mini/ambrosia_confertiflora","iNatAg-mini/ambrosia_psilostachya","iNatAg-mini/ambrosia_tomentosa","iNatAg-mini/ambrosia_trifida","iNatAg-mini/ammannia_latifolia","iNatAg-mini/ammi_majus","iNatAg-mini/ammophila_arenaria","iNatAg-mini/ammophila_breviligulata","iNatAg-mini/amorpha_fruticosa","iNatAg-mini/amorphophallus_paeoniifolius","iNatAg-mini/amsinckia_douglasiana","iNatAg-mini/amsinckia_lycopsoides","iNatAg-mini/anacardium_occidentale","iNatAg-mini/anagallis_arvensis","iNatAg-mini/ananas_comosus","iNatAg-mini/anchusa_azurea","iNatAg-mini/andrographis_paniculata","iNatAg-mini/andropogon_barbinodis","iNatAg-mini/andropogon_bicornis","iNatAg-mini/andropogon_brachystachyus","iNatAg-mini/andropogon_gayanus","iNatAg-mini/andropogon_gyrans","iNatAg-mini/andropogon_hallii","iNatAg-mini/andropogon_leucostachyus","iNatAg-mini/andropogon_ternarius","iNatAg-mini/androsace_septentrionalis","iNatAg-mini/anemone_hepatica","iNatAg-mini/anemone_nemorosa","iNatAg-mini/anethum_graveolens","iNatAg-mini/angelica_archangelica","iNatAg-mini/angelica_atropurpurea","iNatAg-mini/angelica_sylvestris","iNatAg-mini/angophora_costata","iNatAg-mini/angophora_floribunda","iNatAg-mini/annona_atemoya","iNatAg-mini/annona_cherimola","iNatAg-mini/annona_diversifolia","iNatAg-mini/annona_montana","iNatAg-mini/annona_muricata","iNatAg-mini/annona_purpurea","iNatAg-mini/annona_reticulata","iNatAg-mini/annona_senegalensis","iNatAg-mini/annona_squamosa","iNatAg-mini/anogeissus_acuminata","iNatAg-mini/anogeissus_latifolia","iNatAg-mini/anogeissus_pendula","iNatAg-mini/antennaria_dioica","iNatAg-mini/anthemis_arvensis","iNatAg-mini/anthemis_cotula","iNatAg-mini/anthemis_tinctoria","iNatAg-mini/anthephora_pubescens","iNatAg-mini/anthoxanthum_odoratum","iNatAg-mini/anthriscus_cerefolium","iNatAg-mini/anthyllis_vulneraria","iNatAg-mini/antidesma_bunius","iNatAg-mini/antirrhinum_majus","iNatAg-mini/aphandra_natalia","iNatAg-mini/aphanes_arvensis","iNatAg-mini/apios_americana","iNatAg-mini/apium_graveolens","iNatAg-mini/apocynum_cannabinum","iNatAg-mini/apocynum_sibiricum","iNatAg-mini/aponogeton_distachyos","iNatAg-mini/aquilaria_malaccensis","iNatAg-mini/aquilegia_canadensis","iNatAg-mini/aquilegia_vulgaris","iNatAg-mini/arachis_glabrata","iNatAg-mini/arachis_hypogaea","iNatAg-mini/arachis_pintoi","iNatAg-mini/arachis_villosa","iNatAg-mini/araucaria_angustifolia","iNatAg-mini/araucaria_bidwillii","iNatAg-mini/araucaria_cunninghamii","iNatAg-mini/araucaria_hunsteinii","iNatAg-mini/arbutus_unedo","iNatAg-mini/archidendron_jiringa","iNatAg-mini/arctium_lappa","iNatAg-mini/arctostaphylos_glandulosa","iNatAg-mini/arctostaphylos_manzanita","iNatAg-mini/arctostaphylos_patula","iNatAg-mini/arctostaphylos_uva-ursi","iNatAg-mini/arctostaphylos_viscida","iNatAg-mini/ardisia_crenata","iNatAg-mini/areca_catechu","iNatAg-mini/arenaria_serpyllifolia","iNatAg-mini/arenga_pinnata","iNatAg-mini/argemone_mexicana","iNatAg-mini/argyrodendron_actinophyllum","iNatAg-mini/argyrodendron_peralatum","iNatAg-mini/aria_alnifolia","iNatAg-mini/aristida_adscensionis","iNatAg-mini/aristida_behriana","iNatAg-mini/aristida_congesta","iNatAg-mini/aristida_junciformis","iNatAg-mini/aristida_lanosa","iNatAg-mini/aristida_latifolia","iNatAg-mini/aristida_longispica","iNatAg-mini/aristida_personata","iNatAg-mini/aristida_purpurascens","iNatAg-mini/aristida_schiedeana","iNatAg-mini/aristida_transvaalensis","iNatAg-mini/aristolochia_rotunda","iNatAg-mini/armoracia_rusticana","iNatAg-mini/arnica_montana","iNatAg-mini/arrhenatherum_elatius","iNatAg-mini/artemisia_abrotanum","iNatAg-mini/artemisia_absinthium","iNatAg-mini/ar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Ag-mini/cassia_nictitans","iNatAg-mini/cassia_reticulata","iNatAg-mini/cassia_senna","iNatAg-mini/cassia_siamea","iNatAg-mini/cassia_sieberiana","iNatAg-mini/cassia_tomentosa","iNatAg-mini/cassia_tora","iNatAg-mini/castanea_crenata","iNatAg-mini/castanea_dentata","iNatAg-mini/castanea_mollissima","iNatAg-mini/castanea_pumila","iNatAg-mini/castanea_sativa","iNatAg-mini/castanospermum_australe","iNatAg-mini/castilla_elastica","iNatAg-mini/castilleja_angustifolia","iNatAg-mini/castilleja_occidentalis","iNatAg-mini/casuarina_cristata","iNatAg-mini/casuarina_cunninghamiana","iNatAg-mini/casuarina_equisetifolia","iNatAg-mini/casuarina_glauca","iNatAg-mini/casuarina_junghuhniana","iNatAg-mini/casuarina_obesa","iNatAg-mini/catalpa_bignonioides","iNatAg-mini/catha_edulis","iNatAg-mini/catharanthus_roseus","iNatAg-mini/ceanothus_americanus","iNatAg-mini/ceanothus_prostratus","iNatAg-mini/cedrela_odorata","iNatAg-mini/cedrus_deodara","iNatAg-mini/ceiba_pentandra","iNatAg-mini/celastrus_orbiculatus","iNatAg-mini/celastrus_scandens","iNatAg-mini/celosia_argentea","iNatAg-mini/celtis_australis","iNatAg-mini/cenchrus_biflorus","iNatAg-mini/cenchrus_ciliaris","iNatAg-mini/cenchrus_echinatus","iNatAg-mini/cenchrus_setigerus","iNatAg-mini/cenchrus_spinifex","iNatAg-mini/cenchrus_tribuloides","iNatAg-mini/centaurea_biebersteinii","iNatAg-mini/centaurea_calcitrapa","iNatAg-mini/centaurea_cyanus","iNatAg-mini/centaurea_diluta","iNatAg-mini/centaurea_jacea","iNatAg-mini/centaurea_melitensis","iNatAg-mini/centaurea_nigra","iNatAg-mini/centaurea_nigrescens","iNatAg-mini/centaurea_solstitalis","iNatAg-mini/centaurea_solstitialis","iNatAg-mini/centaurea_stoebe","iNatAg-mini/centaurea_virgata","iNatAg-mini/centella_asiatica","iNatAg-mini/centropodia_glauca","iNatAg-mini/centrosema_brasilianum","iNatAg-mini/centrosema_macrocarpum","iNatAg-mini/centrosema_pascuorum","iNatAg-mini/centrosema_plumieri","iNatAg-mini/centrosema_pubescens","iNatAg-mini/centrosema_virginianum","iNatAg-mini/cephalanthus_occidentalis","iNatAg-mini/cerastium_arvense","iNatAg-mini/cerastium_nutans","iNatAg-mini/cerastium_vulgatum","iNatAg-mini/ceratonia_siliqua","iNatAg-mini/ceratopetalum_apetalum","iNatAg-mini/ceratophyllum_demersum","iNatAg-mini/ceratophyllum_echinatum","iNatAg-mini/ceriops_tagal","iNatAg-mini/cestrum_diurnum","iNatAg-mini/ceterach_officinarum","iNatAg-mini/chaerophyllum_tainturieri","iNatAg-mini/chamaebatia_foliolosa","iNatAg-mini/chamaecrista_nictitans","iNatAg-mini/chamaecrista_rotundifolia","iNatAg-mini/chamaedorea_tepejilote","iNatAg-mini/chamaerops_humilis","iNatAg-mini/chara_intermedia","iNatAg-mini/chelidonium_majus","iNatAg-mini/chenopodium_album","iNatAg-mini/chenopodium_ambrosioides","iNatAg-mini/chenopodium_ambrosoides","iNatAg-mini/chenopodium_berlandieri","iNatAg-mini/chenopodium_bonus-henricus","iNatAg-mini/chenopodium_botrys","iNatAg-mini/chenopodium_ficifolium","iNatAg-mini/chenopodium_gigantospermum","iNatAg-mini/chenopodium_glaucum","iNatAg-mini/chenopodium_missouriense","iNatAg-mini/chenopodium_multifidum","iNatAg-mini/chenopodium_murale","iNatAg-mini/chenopodium_polyspermum","iNatAg-mini/chenopodium_quinoa","iNatAg-mini/chenopodium_rubrum","iNatAg-mini/chenopodium_urbicum","iNatAg-mini/chloris_ciliata","iNatAg-mini/chloris_gayana","iNatAg-mini/chloris_roxburghiana","iNatAg-mini/chloris_verticillata","iNatAg-mini/chloris_virgata","iNatAg-mini/chlorogalum_pomeridianum","iNatAg-mini/chlorophora_excelsa","iNatAg-mini/chlorophytum_comosum","iNatAg-mini/chloroxylon_swietenia","iNatAg-mini/chromolaena_odorata","iNatAg-mini/chrysanthemum_coronarium","iNatAg-mini/chrysanthemum_leucanthemum","iNatAg-mini/chrysophyllum_cainito","iNatAg-mini/chrysopogon_aciculatus","iNatAg-mini/chukrasia_velutina","iNatAg-mini/cicer_arietinum","iNatAg-mini/cichorium_endivia","iNatAg-mini/cichorium_intybus","iNatAg-mini/cicuta_bulbifera","iNatAg-mini/cicuta_mackenzieana","iNatAg-mini/cicuta_maculata","iNatAg-mini/cicuta_virosa","iNatAg-mini/cimicifuga_racemosa","iNatAg-mini/cinchona_officinalis","iNatAg-mini/cinchona_pubescens","iNatAg-mini/cinnamomum_burmannii","iNatAg-mini/cinnamomum_camphora","iNatAg-mini/cinnamomum_cassia","iNatAg-mini/cinnamomum_verum","iNatAg-mini/cistus_creticus","iNatAg-mini/citrofortunella_microcarpa","iNatAg-mini/citrullus_colocynthis","iNatAg-mini/citrullus_lanatus","iNatAg-mini/citrus_aurantifolia","iNatAg-mini/citrus_aurantium","iNatAg-mini/citrus_deliciosa","iNatAg-mini/citrus_latifolia","iNatAg-mini/citrus_limon","iNatAg-mini/citrus_madurensis","iNatAg-mini/citrus_medica","iNatAg-mini/citrus_paradisi","iNatAg-mini/citrus_reticulata","iNatAg-mini/citrus_sinensis","iNatAg-mini/citrus_unshiu","iNatAg-mini/clausena_lansium","iNatAg-mini/claytonia_caroliniana","iNatAg-mini/claytonia_virginica","iNatAg-mini/cleistogenes_squarrosa","iNatAg-mini/clematis_ligusticifolia","iNatAg-mini/clematis_orientalis","iNatAg-mini/clematis_virginiana","iNatAg-mini/clematis_vitalba","iNatAg-mini/cleome_gynandra","iNatAg-mini/cleome_hassleriana","iNatAg-mini/cleome_viscosa","iNatAg-mini/clitoria_laurifolia","iNatAg-mini/clitoria_ternatea","iNatAg-mini/clusia_occidentalis","iNatAg-mini/cnicus_benedictus","iNatAg-mini/coccoloba_uvifera","iNatAg-mini/cochlospermum_religiosum","iNatAg-mini/cocos_nucifera","iNatAg-mini/coffea_arabica","iNatAg-mini/coffea_canephora","iNatAg-mini/coffea_liberica","iNatAg-mini/coix_lacryma-jobi","iNatAg-mini/cola_acuminata","iNatAg-mini/cola_nitida","iNatAg-mini/colchicum_autumnale","iNatAg-mini/coleus_amboinicus","iNatAg-mini/colocasia_esculenta","iNatAg-mini/colophospermum_mopane","iNatAg-mini/combretum_aculeatum","iNatAg-mini/combretum_micranthum","iNatAg-mini/combretum_molle","iNatAg-mini/commelina_bengalensis","iNatAg-mini/commelina_benghalensis","iNatAg-mini/commelina_communis","iNatAg-mini/commelina_erecta","iNatAg-mini/commiphora_africana","iNatAg-mini/conium_maculatum","iNatAg-mini/conocarpus_erectus","iNatAg-mini/conocarpus_lancifolius","iNatAg-mini/convallaria_majalis","iNatAg-mini/convolvulus_althaeoides","iNatAg-mini/convolvulus_arvensis","iNatAg-mini/convolvulus_equitans","iNatAg-mini/convolvulus_sepium","iNatAg-mini/copaifera_langsdorffii","iNatAg-mini/corchorus_aestuans","iNatAg-mini/corchorus_capsularis","iNatAg-mini/cordia_africana","iNatAg-mini/cordia_alliodora","iNatAg-mini/coreopsis_lanceolata","iNatAg-mini/coreopsis_tinctoria","iNatAg-mini/coreopsis_verticillata","iNatAg-mini/coriandrum_sativum","iNatAg-mini/corispermum_hyssopifolium","iNatAg-mini/corispermum_villosum","iNatAg-mini/cornus_canadensis","iNatAg-mini/cornus_florida","iNatAg-mini/cornus_mas","iNatAg-mini/cornus_sanguinea","iNatAg-mini/coronilla_varia","iNatAg-mini/corylus_avellana","iNatAg-mini/corylus_maxima","iNatAg-mini/cotoneaster_franchetii","iNatAg-mini/cotula_coronopifolia","iNatAg-mini/crambe_cordifolia","iNatAg-mini/crambe_maritima","iNatAg-mini/crassula_sieberiana","iNatAg-mini/crataegus_crus-galli","iNatAg-mini/crataegus_crus-gallii","iNatAg-mini/crataegus_marshallii","iNatAg-mini/crataegus_monogyna","iNatAg-mini/crataegus_oxyacantha","iNatAg-mini/crataegus_rivularis","iNatAg-mini/cratylia_argentea","iNatAg-mini/crepis_biennis","iNatAg-mini/crepis_occidentalis","iNatAg-mini/crepis_vesicaria","iNatAg-mini/cressa_truxillensis","iNatAg-mini/crinum_americanum","iNatAg-mini/crithmum_maritimum","iNatAg-mini/crocus_sativus","iNatAg-mini/crotalaria_juncea","iNatAg-mini/crotalaria_lanceolata","iNatAg-mini/crotalaria_pallida","iNatAg-mini/crotalaria_podocarpa","iNatAg-mini/crotalaria_retusa","iNatAg-mini/crotalaria_sagittalis","iNatAg-mini/crotalaria_spectabilis","iNatAg-mini/croton_monanthogynus","iNatAg-mini/crucianella_angustifolia","iNatAg-mini/cryptocarya_erythroxylon","iNatAg-mini/cryptomeria_japonica","iNatAg-mini/cryptotaenia_japonica","iNatAg-mini/ctenium_concinnum","iNatAg-mini/cucumis_anguria","iNatAg-mini/cucumis_melo","iNatAg-mini/cucumis_sativus","iNatAg-mini/cucurbita_argyrosperma","iNatAg-mini/cucurbita_digitata","iNatAg-mini/cucurbita_ficifolia","iNatAg-mini/cucurbita_foetidissima","iNatAg-mini/cucurbita_maxima","iNatAg-mini/cucurbita_mixta","iNatAg-mini/cucurbita_moschata","iNatAg-mini/cucurbita_pepo","iNatAg-mini/cunninghamia_lanceolata","iNatAg-mini/cupania_auriculata","iNatAg-mini/cuphea_viscosissima","iNatAg-mini/cupressus_arizonica","iNatAg-mini/cupressus_lusitanica","iNatAg-mini/cupressus_macrocarpa","iNatAg-mini/cupressus_sempervirens","iNatAg-mini/cupressus_torulosa","iNatAg-mini/curcuma_longa","iNatAg-mini/curcuma_zedoaria","iNatAg-mini/cuscuta_approximata","iNatAg-mini/cuscuta_epithymum","iNatAg-mini/cuscuta_obtusiflora","iNatAg-mini/cuscuta_planiflora","iNatAg-mini/cuscuta_sandwichiana","iNatAg-mini/cydonia_oblonga","iNatAg-mini/cymbalaria_muralis","iNatAg-mini/cymbopogon_citratus","iNatAg-mini/cynanchum_scoparium","iNatAg-mini/cynara_cardunculus","iNatAg-mini/cynara_scolymus","iNatAg-mini/cynodon_dactylon","iNatAg-mini/cynodon_nlemfuensis","iNatAg-mini/cynoglossum_officinale","iNatAg-mini/cynometra_cauliflora","iNatAg-mini/cynosurus_cristatus","iNatAg-mini/cyperus_alopecuroides","iNatAg-mini/cyperus_articulatus","iNatAg-mini/cyperus_compressus","iNatAg-mini/cyperus_croceus","iNatAg-mini/cyperus_cuspidatus","iNatAg-mini/cyperus_difformis","iNatAg-mini/cyperus_eragrostis","iNatAg-mini/cyperus_erythrorhizos","iNatAg-mini/cyperus_esculentus","iNatAg-mini/cyperus_flavescens","iNatAg-mini/cyperus_fuscus","iNatAg-mini/cyperus_hyalinus","iNatAg-mini/cyperus_involucratus","iNatAg-mini/cyperus_iria","iNatAg-mini/cyperus_lanceolatus","iNatAg-mini/cyperus_longus","iNatAg-mini/cyperus_odoratus","iNatAg-mini/cyperus_pilosus","iNatAg-mini/cyperus_prolifer","iNatAg-mini/cyperus_pseudovegetus","iNatAg-mini/cyperus_rotundus","iNatAg-mini/cyperus_sanguinolentus","iNatAg-mini/cyperus_squarrosus","iNatAg-mini/cyperus_strigosus","iNatAg-mini/cyperus_subsquarrosus","iNatAg-mini/cyperus_surinamensis","iNatAg-mini/cyphomandra_betacea","iNatAg-mini/cytisus_albus","iNatAg-mini/cytisus_proliferus","iNatAg-mini/cytisus_supinus","iNatAg-mini/dacrydium_franklinii","iNatAg-mini/dactylis_glomerata","iNatAg-mini/dactyloctenium_aegyptium","iNatAg-mini/dactyloctenium_giganteum","iNatAg-mini/dalbergia_latifolia","iNatAg-mini/dalbergia_melanoxylon","iNatAg-mini/dalbergia_sissoo","iNatAg-mini/daphne_laureola","iNatAg-mini/daphne_mezereum","iNatAg-mini/datura_ferox","iNatAg-mini/datura_quercifolia","iNatAg-mini/datura_stramonium","iNatAg-mini/daucus_carota","iNatAg-mini/daucus_carrota","iNatAg-mini/delairea_odorata","iNatAg-mini/delonix_regia","iNatAg-mini/delphinium_bicolor","iNatAg-mini/delphinium_carolinianum","iNatAg-mini/delphinium_menziesii","iNatAg-mini/delphinium_trolliifolium","iNatAg-mini/dendrocalamus_asper","iNatAg-mini/dendrocalamus_giganteus","iNatAg-mini/dendrocalamus_strictus","iNatAg-mini/dendrolobium_umbellatum","iNatAg-mini/derris_elliptica","iNatAg-mini/deschampsia_caespitosa","iNatAg-mini/deschampsia_flexuosa","iNatAg-mini/desmanthus_leptophyllus","iNatAg-mini/desmanthus_virgatus","iNatAg-mini/desmodium_affine","iNatAg-mini/desmodium_barbatum","iNatAg-mini/desmodium_cuneatum","iNatAg-mini/desmodium_cuspidatum","iNatAg-mini/desmodium_distortum","iNatAg-mini/desmodium_gyroides","iNatAg-mini/desmodium_heterophyllum","iNatAg-mini/desmodium_incanum","iNatAg-mini/desmodium_intortum","iNatAg-mini/desmodium_paniculatum","iNatAg-mini/desmodium_psilocarpum","iNatAg-mini/desmodium_reticulatum","iNatAg-mini/desmodium_sandwicense","iNatAg-mini/desmodium_scorpiurus","iNatAg-mini/desmodium_tortuosum","iNatAg-mini/desmodium_triflorum","iNatAg-mini/desmodium_uncinatum","iNatAg-mini/desmodium_velutinum","iNatAg-mini/dialium_guineense","iNatAg-mini/dianthus_armeria","iNatAg-mini/dichanthium_annulatum","iNatAg-mini/dichanthium_aristatum","iNatAg-mini/dichanthium_caricosum","iNatAg-mini/dichanthium_sericeum","iNatAg-mini/dichondra_carolinensis","iNatAg-mini/dichondra_micrantha","iNatAg-mini/dichrostachys_cinerea","iNatAg-mini/dictamnus_albus","iNatAg-mini/didymopanax_morototoni","iNatAg-mini/diervilla_lonicera","iNatAg-mini/digitalis_lanata","iNatAg-mini/digitalis_lutea","iNatAg-mini/digitalis_purpurea","iNatAg-mini/digitaria_argyrograpta","iNatAg-mini/digitaria_ciliaris","iNatAg-mini/digitaria_decumbens","iNatAg-mini/digitaria_didactyla","iNatAg-mini/digitaria_eriantha","iNatAg-mini/digitaria_tricholaenoides","iNatAg-mini/digitaria_violascens","iNatAg-mini/dillenia_indica","iNatAg-mini/dillenia_pentagyna","iNatAg-mini/diodia_virginiana","iNatAg-mini/dioscorea_alata","iNatAg-mini/dioscorea_bulbifera","iNatAg-mini/dioscorea_esculenta","iNatAg-mini/dioscorea_opposita","iNatAg-mini/dioscorea_oppositifolia","iNatAg-mini/dioscorea_trifida","iNatAg-mini/diospyros_digyna","iNatAg-mini/diospyros_kaki","iNatAg-mini/diospyros_malabarica","iNatAg-mini/diospyros_melanoxylon","iNatAg-mini/diospyros_mespiliformis","iNatAg-mini/diospyros_virginiana","iNatAg-mini/diplachne_fusca","iNatAg-mini/diploglottis_cunninghamii","iNatAg-mini/dipsacus_fullonum","iNatAg-mini/dipsacus_laciniatus","iNatAg-mini/dipsacus_sylvestris","iNatAg-mini/dipterocarpus_alatus","iNatAg-mini/dipterocarpus_indicus","iNatAg-mini/dipterocarpus_turbinatus","iNatAg-mini/dodonaea_viscosa","iNatAg-mini/dovyalis_caffra","iNatAg-mini/dovyalis_hebecarpa","iNatAg-mini/draba_nemorosa","iNatAg-mini/draba_verna","iNatAg-mini/dracocephalum_parviflorum","iNatAg-mini/dracocephalum_thymiflorum","iNatAg-mini/drosera_rotundifolia","iNatAg-mini/dryopteris_filix-mas","iNatAg-mini/duboisia_myoporoides","iNatAg-mini/durio_zibethinus","iNatAg-mini/dysoxylum_fraserianum","iNatAg-mini/ecballium_elaterium","iNatAg-mini/echinacea_purpurea","iNatAg-mini/echinochloa_colona","iNatAg-mini/echinochloa_crus-galli","iNatAg-mini/echinochloa_frumentacea","iNatAg-mini/echinochloa_polystachya","iNatAg-mini/echinochloa_pyramidalis","iNatAg-mini/echinops_sphaerocephalus","iNatAg-mini/echium_plantagineum","iNatAg-mini/echium_vulgare","iNatAg-mini/ehrharta_calycina","iNatAg-mini/ehrharta_erecta","iNatAg-mini/ehrharta_longiflora","iNatAg-mini/ehrharta_villosa","iNatAg-mini/eichhornia_crassipes","iNatAg-mini/ekebergia_capensis","iNatAg-mini/elaeagnus_angustifolia","iNatAg-mini/elaeagnus_multiflora","iNatAg-mini/elaeis_guineensis","iNatAg-mini/elaeis_oleifera","iNatAg-mini/elaeocarpus_grandis","iNatAg-mini/eleagnus_angustifolia","iNatAg-mini/elegia_cuspidata","iNatAg-mini/eleocharis_cellulosa","iNatAg-mini/eleocharis_dulcis","iNatAg-mini/eleocharis_macrostachya","iNatAg-mini/eleocharis_montevidensis","iNatAg-mini/eleocharis_vivipara","iNatAg-mini/elephantopus_mollis","iNatAg-mini/elephantorrhiza_elephantina","iNatAg-mini/elettaria_cardamomum","iNatAg-mini/eleusine_indica","iNatAg-mini/ellisia_nyctelea","iNatAg-mini/elsholtzia_ciliata","iNatAg-mini/elymus_canadensis","iNatAg-mini/elymus_caput-medusae","iNatAg-mini/elymus_cinereus","iNatAg-mini/elymus_condensatus","iNatAg-mini/elymus_dahuricus","iNatAg-mini/elymus_glaucus","iNatAg-mini/elymus_viginicus","iNatAg-mini/elymus_virginicus","iNatAg-mini/emilia_sonchifolia","iNatAg-mini/encalypta_i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ra","iNatAg-mini/intsia_bijuga","iNatAg-mini/inula_britannica","iNatAg-mini/inula_helenium","iNatAg-mini/ipomoea_alba","iNatAg-mini/ipomoea_aquatica","iNatAg-mini/ipomoea_batatas","iNatAg-mini/ipomoea_coccinea","iNatAg-mini/ipomoea_hederifolia","iNatAg-mini/ipomoea_lacunosa","iNatAg-mini/ipomoea_quamoclit","iNatAg-mini/ipomoea_tricolor","iNatAg-mini/ipomoea_triloba","iNatAg-mini/ipomoea_turbinata","iNatAg-mini/iris_germanica","iNatAg-mini/iris_missouriensis","iNatAg-mini/iris_pseudacorus","iNatAg-mini/iris_pseudoacorus","iNatAg-mini/iris_virginica","iNatAg-mini/isatis_tinctoria","iNatAg-mini/ischaemum_ciliare","iNatAg-mini/ischaemum_muticum","iNatAg-mini/ischaemum_rugosum","iNatAg-mini/iseilema_vaginiflorum","iNatAg-mini/iva_angustifolia","iNatAg-mini/iva_annua","iNatAg-mini/jacaranda_copaia","iNatAg-mini/jacaranda_mimosifolia","iNatAg-mini/jatropha_curcas","iNatAg-mini/jatropha_gossypifolia","iNatAg-mini/jatropha_gossypiifolia","iNatAg-mini/juglans_hindsii","iNatAg-mini/juglans_nigra","iNatAg-mini/juglans_regia","iNatAg-mini/juncus_bufonius","iNatAg-mini/juncus_effusus","iNatAg-mini/juniperus_communis","iNatAg-mini/juniperus_occidentalis","iNatAg-mini/juniperus_pinchotii","iNatAg-mini/juniperus_procera","iNatAg-mini/juniperus_sabina","iNatAg-mini/justicia_adhatoda","iNatAg-mini/kalmia_angustifolia","iNatAg-mini/khaya_anthotheca","iNatAg-mini/khaya_senegalensis","iNatAg-mini/kigelia_pinnata","iNatAg-mini/kyllinga_gracillima","iNatAg-mini/kyllinga_odorata","iNatAg-mini/lablab_purpureus","iNatAg-mini/lactuca_canadensis","iNatAg-mini/lactuca_indica","iNatAg-mini/lactuca_saligna","iNatAg-mini/lactuca_serriola","iNatAg-mini/lactuca_virosa","iNatAg-mini/lagascea_mollis","iNatAg-mini/lagenaria_siceraria","iNatAg-mini/lagerstroemia_flos-reginae","iNatAg-mini/lagerstroemia_lanceolata","iNatAg-mini/lagerstroemia_parviflora","iNatAg-mini/laguncularia_racemosa","iNatAg-mini/lamium_album","iNatAg-mini/lamium_amplexicaule","iNatAg-mini/lamium_maculatum","iNatAg-mini/lamium_purpureum","iNatAg-mini/lannea_coromandelica","iNatAg-mini/lannea_edulis","iNatAg-mini/lansium_domesticum","iNatAg-mini/lantana_camara","iNatAg-mini/lapsana_communis","iNatAg-mini/larix_decidua","iNatAg-mini/larrea_divaricata","iNatAg-mini/lathyrus_angulatus","iNatAg-mini/lathyrus_cicera","iNatAg-mini/lathyrus_hirsutus","iNatAg-mini/lathyrus_latifolius","iNatAg-mini/lathyrus_ochrus","iNatAg-mini/lathyrus_odoratus","iNatAg-mini/lathyrus_palustris","iNatAg-mini/lathyrus_pratensis","iNatAg-mini/lathyrus_pubescens","iNatAg-mini/lathyrus_sativus","iNatAg-mini/lathyrus_tingitanus","iNatAg-mini/lathyrus_tuberosus","iNatAg-mini/laurus_nobilis","iNatAg-mini/lavandula_angustifolia","iNatAg-mini/lavandula_dentata","iNatAg-mini/lavandula_latifolia","iNatAg-mini/lawsonia_inermis","iNatAg-mini/ledum_groenlandicum","iNatAg-mini/leersia_hexandra","iNatAg-mini/leersia_lenticularis","iNatAg-mini/lemna_aequinoctialis","iNatAg-mini/lemna_gibba","iNatAg-mini/lemna_minor","iNatAg-mini/lemna_trisulca","iNatAg-mini/lens_culinaris","iNatAg-mini/leontodon_autumnale","iNatAg-mini/leontodon_autumnalis","iNatAg-mini/leontodon_hirtus","iNatAg-mini/leontodon_saxatilis","iNatAg-mini/leontopodium_alpinum","iNatAg-mini/leonurus_cardiaca","iNatAg-mini/leonurus_marrubiastrum","iNatAg-mini/leonurus_sibericus","iNatAg-mini/leonurus_sibiricus","iNatAg-mini/lepidium_austrinum","iNatAg-mini/lepidium_chalepense","iNatAg-mini/lepidium_didymum","iNatAg-mini/lepidium_draba","iNatAg-mini/lepidium_lasiocarpum","iNatAg-mini/lepidium_latifolium","iNatAg-mini/lepidium_perfoliatum","iNatAg-mini/lepidium_ruderale","iNatAg-mini/lepidium_sativum","iNatAg-mini/lepidium_virginicum","iNatAg-mini/leptochloa_chinensis","iNatAg-mini/leptochloa_fusca","iNatAg-mini/leptochloa_nealleyi","iNatAg-mini/lespedeza_cuneata","iNatAg-mini/lespedeza_striata","iNatAg-mini/lesquerella_fendleri","iNatAg-mini/leucaena_diversifolia","iNatAg-mini/leucaena_leucocephala","iNatAg-mini/leucanthemum_vulgare","iNatAg-mini/leucojum_aestivum","iNatAg-mini/levisticum_officinale","iNatAg-mini/liatris_mucronata","iNatAg-mini/licuala_ramsayi","iNatAg-mini/ligustrum_ovalifolium","iNatAg-mini/ligustrum_vulgare","iNatAg-mini/lilium_canadense","iNatAg-mini/lilium_candidum","iNatAg-mini/limnanthes_alba","iNatAg-mini/limnophila_sessiliflora","iNatAg-mini/linaria_vulgaris","iNatAg-mini/lindernia_grandiflora","iNatAg-mini/linum_usitatissimum","iNatAg-mini/lippia_alba","iNatAg-mini/liquidambar_styraciflua","iNatAg-mini/liriodendron_tulipifera","iNatAg-mini/litchi_chinensis","iNatAg-mini/lithospermum_arvense","iNatAg-mini/lithospermum_officinale","iNatAg-mini/livistona_australis","iNatAg-mini/lobelia_inflata","iNatAg-mini/lobelia_siphilitica","iNatAg-mini/lolium_multiflorum","iNatAg-mini/lolium_perenne","iNatAg-mini/lolium_rigidum","iNatAg-mini/lolium_temulentum","iNatAg-mini/lonchocarpus_laxiflorus","iNatAg-mini/lonicera_caerulea","iNatAg-mini/lonicera_caprifolium","iNatAg-mini/lonicera_periclymenum","iNatAg-mini/lonicera_sempervirens","iNatAg-mini/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assiflora_foetida","iNatAg-mini/passiflora_incarnata","iNatAg-mini/passiflora_laurifolia","iNatAg-mini/passiflora_ligularis","iNatAg-mini/passiflora_lutea","iNatAg-mini/passiflora_mollissima","iNatAg-mini/passiflora_quadrangularis","iNatAg-mini/passiflora_suberosa","iNatAg-mini/pastinaca_sativa","iNatAg-mini/paullinia_cupana","iNatAg-mini/paulownia_tomentosa","iNatAg-mini/peganum_harmala","iNatAg-mini/pelargonium_graveolens","iNatAg-mini/peltandra_sagittifolia","iNatAg-mini/peltandra_virginica","iNatAg-mini/peltophorum_africanum","iNatAg-mini/peltophorum_pterocarpum","iNatAg-mini/pennisetum_clandestinum","iNatAg-mini/pennisetum_glaucum","iNatAg-mini/pennisetum_macrourum","iNatAg-mini/pennisetum_pedicellatum","iNatAg-mini/pennisetum_polystachyon","iNatAg-mini/pennisetum_purpureum","iNatAg-mini/pennisetum_setaceum","iNatAg-mini/pennisetum_villosum","iNatAg-mini/perilla_frutescens","iNatAg-mini/persea_americana","iNatAg-mini/persicaria_maculosa","iNatAg-mini/persoonia_falcata","iNatAg-mini/petalostigma_pubescens","iNatAg-mini/petasites_albus","iNatAg-mini/petasites_hybridus","iNatAg-mini/petroselinum_crispum","iNatAg-mini/petunia_parviflora","iNatAg-mini/peucedanum_ostruthium","iNatAg-mini/phalaris_aquatica","iNatAg-mini/phalaris_arundinacea","iNatAg-mini/phalaris_arundinaceae","iNatAg-mini/phalaris_brachystachys","iNatAg-mini/phalaris_canariensis","iNatAg-mini/phalaris_caroliniana","iNatAg-mini/phalaris_coerulescens","iNatAg-mini/phalaris_paradoxa","iNatAg-mini/phaseolus_acutifolius","iNatAg-mini/phaseolus_coccineus","iNatAg-mini/phaseolus_lunatus","iNatAg-mini/phaseolus_vulgaris","iNatAg-mini/phleum_alpinum","iNatAg-mini/phleum_pratense","iNatAg-mini/phoenix_dactylifera","iNatAg-mini/phoenix_reclinata","iNatAg-mini/phoenix_sylvestris","iNatAg-mini/phormium_tenax","iNatAg-mini/phragmites_australis","iNatAg-mini/phragmites_communis","iNatAg-mini/phragmites_karka","iNatAg-mini/phyllanthus_niruri","iNatAg-mini/phyllanthus_tenellus","iNatAg-mini/phyllanthus_urinaria","iNatAg-mini/phyllocladus_aspleniifolius","iNatAg-mini/physalis_alkekengi","iNatAg-mini/physalis_angulata","iNatAg-mini/physalis_heterophylla","iNatAg-mini/physalis_lancifolia","iNatAg-mini/physalis_peruviana","iNatAg-mini/physalis_philadelphica","iNatAg-mini/physalis_pubescens","iNatAg-mini/physalis_virginiana","iNatAg-mini/physalis_viscosa","iNatAg-mini/phytolacca_acinosa","iNatAg-mini/phytolacca_americana","iNatAg-mini/phytolacca_dioica","iNatAg-mini/picea_abies","iNatAg-mini/picea_omorica","iNatAg-mini/picea_omorika","iNatAg-mini/picris_echioides","iNatAg-mini/picris_hieracioides","iNatAg-mini/piliostigma_reticulatum","iNatAg-mini/piliostigma_thonningii","iNatAg-mini/pimenta_dioica","iNatAg-mini/pimenta_racemosa","iNatAg-mini/pimpinella_anisum","iNatAg-mini/pimpinella_saxifraga","iNatAg-mini/pinguicula_vulgaris","iNatAg-mini/pinus_ayacahuite","iNatAg-mini/pinus_brutia","iNatAg-mini/pinus_canariensis","iNatAg-mini/pinus_caribaea","iNatAg-mini/pinus_chiapensis","iNatAg-mini/pinus_douglasiana","iNatAg-mini/pinus_durangensis","iNatAg-mini/pinus_greggii","iNatAg-mini/pinus_halepensis","iNatAg-mini/pinus_hartwegii","iNatAg-mini/pinus_kesiya","iNatAg-mini/pinus_merkusii","iNatAg-mini/pinus_montezumae","iNatAg-mini/pinus_mugo","iNatAg-mini/pinus_occidentalis","iNatAg-mini/pinus_oocarpa","iNatAg-mini/pinus_palustris","iNatAg-mini/pinus_patula","iNatAg-mini/pinus_pinaster","iNatAg-mini/pinus_pinea","iNatAg-mini/pinus_ponderosa","iNatAg-mini/pinus_pseudostrobus","iNatAg-mini/pinus_radiata","iNatAg-mini/pinus_roxburghii","iNatAg-mini/pinus_sylvestris","iNatAg-mini/pinus_tabuliformis","iNatAg-mini/pinus_taeda","iNatAg-mini/pinus_teocote","iNatAg-mini/piper_aduncum","iNatAg-mini/piper_betle","iNatAg-mini/piper_longum","iNatAg-mini/piper_methysticum","iNatAg-mini/piper_nigrum","iNatAg-mini/pistacia_atlantica","iNatAg-mini/pistacia_lentiscus","iNatAg-mini/pistacia_vera","iNatAg-mini/pistia_stratiotes","iNatAg-mini/pisum_sativum","iNatAg-mini/pithecellobium_dulce","iNatAg-mini/pittosporum_resiniferum","iNatAg-mini/pittosporum_undulatum","iNatAg-mini/plagiobothrys_canescens","iNatAg-mini/plantago_coronopus","iNatAg-mini/plantago_heterophylla","iNatAg-mini/plantago_indica","iNatAg-mini/plantago_lanceolata","iNatAg-mini/plantago_major","iNatAg-mini/plantago_media","iNatAg-mini/plantago_ovata","iNatAg-mini/plantago_psyllium","iNatAg-mini/plantago_virginica","iNatAg-mini/platanus_orientalis","iNatAg-mini/poa_alpina","iNatAg-mini/poa_annua","iNatAg-mini/poa_bulbosa","iNatAg-mini/poa_compressa","iNatAg-mini/poa_cuspidata","iNatAg-mini/poa_fendleriana","iNatAg-mini/poa_nemoralis","iNatAg-mini/poa_pratensis","iNatAg-mini/poa_trivialis","iNatAg-mini/podocarpus_elatus","iNatAg-mini/podocarpus_falcatus","iNatAg-mini/poeciloneuron_indicum","iNatAg-mini/pogostemon_cablin","iNatAg-mini/polemonium_caeruleum","iNatAg-mini/polemonium_micranthum","iNatAg-mini/polyalthia_fragrans","iNatAg-mini/polycarpon_tetraphyllum","iNatAg-mini/polygonatum_orientale","iNatAg-mini/polygonum_achore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iscaria","iNatAg/lycium_barbarum","iNatAg/lycium_berlandieri","iNatAg/lycium_chinense","iNatAg/lycium_ferocissimum","iNatAg/lycium_halimifolium","iNatAg/lycopersicon_esculentum","iNatAg/lycopodium_clavatum","iNatAg/lycopus_europaeus","iNatAg/lysimachia_ciliata","iNatAg/lysimachia_nummularia","iNatAg/lysimachia_punctata","iNatAg/lysimachia_vulgaris","iNatAg/lythrum_hyssopifolia","iNatAg/lythrum_salicaria","iNatAg/lythrum_virgatum","iNatAg/macadamia_integrifolia","iNatAg/macadamia_tetraphylla","iNatAg/macaranga_tanarius","iNatAg/macroptilium_atropurpureum","iNatAg/macroptilium_erythroloma","iNatAg/macroptilium_gracile","iNatAg/macroptilium_lathyroides","iNatAg/macroptilium_longepedunculatum","iNatAg/macrotyloma_axillare","iNatAg/maesopsis_eminii","iNatAg/maianthemum_canadense","iNatAg/majorana_hortensis","iNatAg/malachra_alceifolia","iNatAg/mallotus_philippensis","iNatAg/malpighia_glabra","iNatAg/malus_domestica","iNatAg/malus_sylvestris","iNatAg/malva_alcea","iNatAg/malva_moschata","iNatAg/malva_nicaeensis","iNatAg/malva_parviflora","iNatAg/malva_pusilla","iNatAg/malva_rotundifolia","iNatAg/malva_silvestris","iNatAg/malva_sylvestris","iNatAg/mammea_americana","iNatAg/mangifera_indica","iNatAg/manihot_esculenta","iNatAg/manilkara_zapota","iNatAg/maranta_arundinacea","iNatAg/markhamia_lutea","iNatAg/marrubium_vulgare","iNatAg/marsilea_quadrifolia","iNatAg/matricaria_chamomila","iNatAg/matricaria_chamomilla","iNatAg/matricaria_discoidea","iNatAg/matricaria_perforata","iNatAg/matricaria_recutita","iNatAg/mauritia_flexuosa","iNatAg/mayaca_fluviatilis","iNatAg/medicago_arabica","iNatAg/medicago_falcata","iNatAg/medicago_intertexta","iNatAg/medicago_laciniata","iNatAg/medicago_littoralis","iNatAg/medicago_lupulina","iNatAg/medicago_marina","iNatAg/medicago_minima","iNatAg/medicago_orbicularis","iNatAg/medicago_polymorpha","iNatAg/medicago_rigidula","iNatAg/medicago_rugosa","iNatAg/medicago_sativa","iNatAg/medicago_scutellata","iNatAg/medicago_tornata","iNatAg/medicago_truncatula","iNatAg/medicago_turbinata","iNatAg/melaleuca_bracteata","iNatAg/melaleuca_cajuputi","iNatAg/melaleuca_dealbata","iNatAg/melaleuca_lanceolata","iNatAg/melaleuca_leucadendron","iNatAg/melaleuca_nervosa","iNatAg/melaleuca_quinquenervia","iNatAg/melaleuca_viridiflora","iNatAg/melampyrum_lineare","iNatAg/melastoma_malabathricum","iNatAg/melastoma_melabathricum","iNatAg/melia_azedarach","iNatAg/melica_decumbens","iNatAg/melicoccus_bijugatus","iNatAg/melilotus_albus","iNatAg/melilotus_indica","iNatAg/melilotus_officinalis","iNatAg/melilotus_suaveolens","iNatAg/melinis_minutiflora","iNatAg/melissa_officinalis","iNatAg/melochia_corchorifolia","iNatAg/melothria_pendula","iNatAg/mentha_arvensis","iNatAg/mentha_longifolia","iNatAg/mentha_piperita","iNatAg/mentha_pulegium","iNatAg/mentha_rotundifolia","iNatAg/mentha_spicata","iNatAg/menyanthes_trifoliata","iNatAg/mercurialis_annua","iNatAg/mesembryanthemum_cristallinum","iNatAg/mesembryanthemum_noctiflorum","iNatAg/mespilus_germanica","iNatAg/mesua_ferrea","iNatAg/metroxylon_sagu","iNatAg/michelia_champaca","iNatAg/microstegium_ciliatum","iNatAg/miliusa_velutina","iNatAg/mimosa_casta","iNatAg/mimosa_dutrae","iNatAg/mimosa_pigra","iNatAg/mimosa_pudica","iNatAg/mirabilis_jalapa","iNatAg/molinia_caerulea","iNatAg/mollugo_verticillata","iNatAg/momordica_charantia","iNatAg/momordica_cochinchinensis","iNatAg/monarda_fistulosa","iNatAg/monarda_punctata","iNatAg/monochoria_hastata","iNatAg/monochoria_vaginalis","iNatAg/monocymbium_ceresiiforme","iNatAg/monstera_deliciosa","iNatAg/montanoa_hibiscifolia","iNatAg/morinda_citrifolia","iNatAg/moringa_oleifera","iNatAg/morus_alba","iNatAg/morus_nigra","iNatAg/morus_rubra","iNatAg/mucuna_pruriens","iNatAg/muntingia_calabura","iNatAg/murraya_koenigii","iNatAg/musa_acuminata","iNatAg/musa_acuminata_×_balbisiana","iNatAg/musa_balbisiana","iNatAg/musa_sapientium","iNatAg/musanga_cecropioides","iNatAg/muscari_comosum","iNatAg/myosotis_alpestris","iNatAg/myosurus_minimus","iNatAg/myrica_cerifera","iNatAg/myriophyllum_heterophyllum","iNatAg/myriophyllum_implicatum","iNatAg/myriophyllum_sibiricum","iNatAg/myriophyllum_spicatum","iNatAg/myriophyllum_verticillatum","iNatAg/myristica_fragrans","iNatAg/myroxylon_balsamum","iNatAg/myrsine_africana","iNatAg/myrtus_communis","iNatAg/nardus_stricta","iNatAg/nasturtium_officinale","iNatAg/nauclea_orientalis","iNatAg/nelumbo_nucifera","iNatAg/neofabricia_myrtifolia","iNatAg/neoglaziovia_variegata","iNatAg/neonotonia_wightii","iNatAg/nepeta_cataria","iNatAg/nephelium_lappaceum","iNatAg/nephelium_mutabile","iNatAg/nerium_oleander","iNatAg/nicotiana_quadrivalvis","iNatAg/nicotiana_rustica","iNatAg/nicotiana_trigonophylla","iNatAg/nigella_sativa","iNatAg/nothofagus_cunninghamii","iNatAg/nothofagus_moorei","iNatAg/nothoscordum_borbonicum","iNatAg/nuphar_advena","iNatAg/nuphar_lutea","iNatAg/nymphaea_alba","iNatAg/nypa_fruticans","iNatAg/ochroma_pyramidale","iNatAg/ocimum_americanum","iNatAg/ocimum_basilicum","iNatAg/ocimum_tenuiflorum","iNatAg/octomeles_sumatrana","iNatAg/oenanthe_javanica","iNatAg/oenothera_albicaulis","iNatAg/oenothera_biennis","iNatAg/oenothera_parviflora","iNatAg/oenothera_perennis","iNatAg/oldenlandia_corymbosa","iNatAg/olea_africana","iNatAg/olea_capensis","iNatAg/olea_europaea","iNatAg/olea_europea","iNatAg/oncosperma_tigillarium","iNatAg/onobrychis_viciifolia","iNatAg/ononis_alopecuroides","iNatAg/ononis_spinosa","iNatAg/onopordum_acanthium","iNatAg/onopordum_illyricum","iNatAg/onosmodium_discolor","iNatAg/opuntia_ficus-indica","iNatAg/opuntia_leptocaulis","iNatAg/opuntia_polyacantha","iNatAg/opuntia_polycantha","iNatAg/origanum_majorana","iNatAg/origanum_onites","iNatAg/origanum_vulgare","iNatAg/ornithogalum_nutans","iNatAg/ornithogalum_umbellatum","iNatAg/ornithopus_compressus","iNatAg/ornithopus_sativus","iNatAg/orobanche_flava","iNatAg/orobanche_ludoviciana","iNatAg/orobanche_minor","iNatAg/orobanche_ramosa","iNatAg/orontium_aquaticum","iNatAg/orthosiphon_aristatus","iNatAg/oryza_sativa","iNatAg/oryzopsis_holciformis","iNatAg/oryzopsis_miliacea","iNatAg/osmorhiza_berteroi","iNatAg/osmunda_regalis","iNatAg/ottochloa_nodosa","iNatAg/oxalis_acetosella","iNatAg/oxalis_corniculata","iNatAg/oxalis_pes-caprae","iNatAg/oxalis_pescaprae","iNatAg/oxalis_stricta","iNatAg/oxalis_tuberosa","iNatAg/oxytropis_lambertii","iNatAg/pachyrhizus_erosus","iNatAg/paederia_cruddasiana","iNatAg/paederia_foetida","iNatAg/paeonia_officinalis","iNatAg/panax_ginseng","iNatAg/panax_quinquefolius","iNatAg/pangium_edule","iNatAg/panicum_antidotale","iNatAg/panicum_capillare","iNatAg/panicum_coloratum","iNatAg/panicum_ecklonii","iNatAg/panicum_gattingeri","iNatAg/panicum_maximum","iNatAg/panicum_miliaceum","iNatAg/panicum_natalense","iNatAg/panicum_obtusum","iNatAg/panicum_pilosum","iNatAg/panicum_racemosum","iNatAg/panicum_repens","iNatAg/panicum_sphaerocarpon","iNatAg/panicum_trichocladum","iNatAg/panicum_turgidum","iNatAg/panicum_virgatum","iNatAg/papaver_argemone","iNatAg/papaver_bracteatum","iNatAg/papaver_dubium","iNatAg/papaver_rhoeas","iNatAg/papaver_somniferum","iNatAg/parietaria_floridana","iNatAg/parietaria_officinalis","iNatAg/parinari_curatellifolia","iNatAg/parkia_biglobosa","iNatAg/parkia_speciosa","iNatAg/parkinsonia_aculeata","iNatAg/parnassia_palustris","iNatAg/parsonsia_latifolia","iNatAg/parthenium_argentatum","iNatAg/parthenium_hysterophorus","iNatAg/paspalum_conjugatum","iNatAg/paspalum_dilatatum","iNatAg/paspalum_distichum","iNatAg/paspalum_nicorae","iNatAg/paspalum_notatum","iNatAg/paspalum_plicatulum","iNatAg/paspalum_scrobiculatum","iNatAg/paspalum_separatum","iNatAg/paspalum_urvillei","iNatAg/paspalum_vaginatum","iNatAg/passiflora_bicornis","iNatAg/passiflora_edulis","iNatAg/passiflora_foetida","iNatAg/passiflora_incarnata","iNatAg/passiflora_laurifolia","iNatAg/passiflora_ligularis","iNatAg/passiflora_lutea","iNatAg/passiflora_mollissima","iNatAg/passiflora_quadrangularis","iNatAg/passiflora_suberosa","iNatAg/pastinaca_sativa","iNatAg/paullinia_cupana","iNatAg/paulownia_tomentosa","iNatAg/peganum_harmala","iNatAg/pelargonium_graveolens","iNatAg/peltandra_sagittifolia","iNatAg/peltandra_virginica","iNatAg/peltophorum_africanum","iNatAg/peltophorum_pterocarpum","iNatAg/pennisetum_clandestinum","iNatAg/pennisetum_glaucum","iNatAg/pennisetum_macrourum","iNatAg/pennisetum_pedicellatum","iNatAg/pennisetum_polystachyon","iNatAg/pennisetum_purpureum","iNatAg/pennisetum_setaceum","iNatAg/pennisetum_villosum","iNatAg/perilla_frutescens","iNatAg/persea_americana","iNatAg/persicaria_maculosa","iNatAg/persoonia_falcata","iNatAg/petalostigma_pubescens","iNatAg/petasites_albus","iNatAg/petasites_hybridus","iNatAg/petroselinum_crispum","iNatAg/petunia_parviflora","iNatAg/peucedanum_ostruthium","iNatAg/phalaris_aquatica","iNatAg/phalaris_arundinacea","iNatAg/phalaris_arundinaceae","iNatAg/phalaris_brachystachys","iNatAg/phalaris_canariensis","iNatAg/phalaris_caroliniana","iNatAg/phalaris_coerulescens","iNatAg/phalaris_paradoxa","iNatAg/phaseolus_acutifolius","iNatAg/phaseolus_coccineus","iNatAg/phaseolus_lunatus","iNatAg/phaseolus_vulgaris","iNatAg/phleum_alpinum","iNatAg/phleum_pratense","iNatAg/phoenix_dactylifera","iNatAg/phoenix_reclinata","iNatAg/phoenix_sylvestris","iNatAg/phormium_tenax","iNatAg/phragmites_australis","iNatAg/phragmites_communis","iNatAg/phragmites_karka","iNatAg/phyllanthus_niruri","iNatAg/phyllanthus_tenellus","iNatAg/phyllanthus_urinaria","iNatAg/phyllocladus_aspleniifolius","iNatAg/physalis_alkekengi","iNatAg/physalis_angulata","iNatAg/physalis_heterophylla","iNatAg/physalis_lancifolia","iNatAg/physalis_peruviana","iNatAg/physalis_philadelphica","iNatAg/physalis_pubescens","iNatAg/physalis_virginiana","iNatAg/physalis_viscosa","iNatAg/phytolacca_acinosa","iNatAg/phytolacca_americana","iNatAg/phytolacca_dioica","iNatAg/picea_abies","iNatAg/picea_omorica","iNatAg/picea_omorika","iNatAg/picris_echioides","iNatAg/picris_hieracioides","iNatAg/piliostigma_reticulatum","iNatAg/piliostigma_thonningii","iNatAg/pimenta_dioica","iNatAg/pimenta_racemosa","iNatAg/pimpinella_anisum","iNatAg/pimpinella_saxifraga","iNatAg/pinguicula_vulgaris","iNatAg/pinus_ayacahuite","iNatAg/pinus_brutia","iNatAg/pinus_canariensis","iNatAg/pinus_caribaea","iNatAg/pinus_chiapensis","iNatAg/pinus_douglasiana","iNatAg/pinus_durangensis","iNatAg/pinus_greggii","iNatAg/pinus_halepensis","iNatAg/pinus_hartwegii","iNatAg/pinus_kesiya","iNatAg/pinus_merkusii","iNatAg/pinus_montezumae","iNatAg/pinus_mugo","iNatAg/pinus_occidentalis","iNatAg/pinus_oocarpa","iNatAg/pinus_palustris","iNatAg/pinus_patula","iNatAg/pinus_pinaster","iNatAg/pinus_pinea","iNatAg/pinus_ponderosa","iNatAg/pinus_pseudostrobus","iNatAg/pinus_radiata","iNatAg/pinus_roxburghii","iNatAg/pinus_sylvestris","iNatAg/pinus_tabuliformis","iNatAg/pinus_taeda","iNatAg/pinus_teocote","iNatAg/piper_aduncum","iNatAg/piper_betle","iNatAg/piper_longum","iNatAg/piper_methysticum","iNatAg/piper_nigrum","iNatAg/pistacia_atlantica","iNatAg/pistacia_lentiscus","iNatAg/pistacia_vera","iNatAg/pistia_stratiotes","iNatAg/pisum_sativum","iNatAg/pithecellobium_dulce","iNatAg/pittosporum_resiniferum","iNatAg/pittosporum_undulatum","iNatAg/plagiobothrys_canescens","iNatAg/plantago_coronopus","iNatAg/plantago_heterophylla","iNatAg/plantago_indica","iNatAg/plantago_lanceolata","iNatAg/plantago_major","iNatAg/plantago_media","iNatAg/plantago_ovata","iNatAg/plantago_psyllium","iNatAg/plantago_virginica","iNatAg/platanus_orientalis","iNatAg/poa_alpina","iNatAg/poa_annua","iNatAg/poa_bulbosa","iNatAg/poa_compressa","iNatAg/poa_cuspidata","iNatAg/poa_fendleriana","iNatAg/poa_nemoralis","iNatAg/poa_pratensis","iNatAg/poa_trivialis","iNatAg/podocarpus_elatus","iNatAg/podocarpus_falcatus","iNatAg/poeciloneuron_indicum","iNatAg/pogostemon_cablin","iNatAg/polemonium_caeruleum","iNatAg/polemonium_micranthum","iNatAg/polyalthia_fragrans","iNatAg/polycarpon_tetraphyllum","iNatAg/polygonatum_orientale","iNatAg/polygonum_achoreum","iNatAg/polygonum_arenastrum","iNatAg/polygonum_aviculare","iNatAg/polygonum_bistorta","iNatAg/polygonum_convolvulus","iNatAg/polygonum_equisetiforme","iNatAg/polygonum_erectum","iNatAg/polygonum_hydropiper","iNatAg/polygonum_hydropiperoides","iNatAg/polygonum_lapathifolium","iNatAg/polygonum_orientale","iNatAg/polygonum_pensylvanicum","iNatAg/polygonum_perfoliatum","iNatAg/polygonum_persicaria","iNatAg/polygonum_punctatum","iNatAg/polygonum_ramosissimum","iNatAg/polygonum_scandens","iNatAg/polymnia_sonchifolia","iNatAg/polypodium_vulgare","iNatAg/polypogon_interruptus","iNatAg/polypremum_procumbens","iNatAg/polyscias_fulva","iNatAg/polytrichum_commune","iNatAg/pongamia_pinnata","iNatAg/pontederia_cordata","iNatAg/pontederia_rotundifolia","iNatAg/populus_balsamifera","iNatAg/populus_ciliata","iNatAg/populus_deltoides","iNatAg/populus_euphratica","iNatAg/populus_simonii","iNatAg/portulaca_oleracea","iNatAg/portulaca_pilosa","iNatAg/portulaca_pilosa_pilosa","iNatAg/portulaca_quadrifida","iNatAg/potamogeton_diversifolius","iNatAg/potamogeton_epihydrus","iNatAg/potamogeton_filiformis","iNatAg/potamogeton_foliosus","iNatAg/potamogeton_friesii","iNatAg/potamogeton_gramineus","iNatAg/potamogeton_illinoensis","iNatAg/potamogeton_natans","iNatAg/potamogeton_nodosus","iNatAg/potamogeton_pectinatus","iNatAg/potamogeton_praelongus","iNatAg/potamogeton_pusillus","iNatAg/potamogeton_zosteriformis","iNatAg/potentilla_anserina","iNatAg/potentilla_argentea","iNatAg/potentilla_erecta","iNatAg/potentilla_fruticosa","iNatAg/potentilla_intermedia","iNatAg/potentilla_norvegica","iNatAg/potentilla_norvegicae","iNatAg/potentilla_recta","iNatAg/potentilla_reptans","iNatAg/potentilla_tridentata","iNatAg/poterium_sanguisorba","iNatAg/pouteria_campechiana","iNatAg/pouteria_lucuma","iNatAg/pouteria_sapota","iNatAg/prasophyllum_elatum","iNatAg/primula_veris","iNatAg/proserpinaca_palustris","iNatAg/proserpinaca_pectinata","iNatAg/prosopis_affinis","iNatAg/prosopis_africana","iNatAg/prosopis_alba","iNatAg/prosopis_chilensis","iNatAg/prosopis_cineraria","iNatAg/prosopis_glandulosa","iNatAg/prosopis_juliflora","iNatAg/prosopis_nigra","iNatAg/prosopis_pallida","iNatAg/prosopis_tamarugo","iNatAg/prosopis_velutina","iNatAg/prunella_vulgaris","iNatAg/prunus_africana","iNatAg/prunus_amygdalus","iNatAg/prunus_armeniaca","iNatAg/prunus_avium","iNatAg/prunus_capuli","iNatAg/prunus_cerasus","iNatAg/prunus_domestica","iNatAg/prunus_laurocerasus","iNatAg/prunus_mahaleb","iNatAg/prunus_mume","iNatAg/prunus_padus","iNatAg/prunus_pensylvanica","iNatAg/prunus_persica","iNatAg/prunus_salicina","iNatAg/prunus_spinosa","iNatAg/prunus_virginiana","iNatAg/psathyrostachys_juncea","iNatAg/psidium_cattleianum","iNatAg/psidium_friedrichsthalianum","iNatAg/psidium_guajava","iNatAg/psophocarpus_tetragonolobus","iNatAg/psoralea_repens","iNatAg/ptelea_trifoliata","iNatAg/pterocarpus_angolensis","iNatAg/pterocarpus_dalbergioides","iNatAg/pterocarpus_erinaceus","iNatAg/pterocarpus_indicus","iNatAg/pterocarpus_lucens","iNatAg/pterocarpus_macrocarpus","iNatAg/pterocarpus_marsupium","iNatAg/pterocarpus_santalinoides","iNatAg/pterocarpus_santalinus","iNatAg/pueraria_lobata","iNatAg/pueraria_phaseoloides","iNatAg/pulmonaria_officinalis","iNatAg/punica_granatum","iNatAg/pycnanthus_angolensis","iNatAg/pyrola_rotundifolia","iNatAg/pyrus_communis","iNatAg/pyrus_pyrifolia","iNatAg/quercus_agrifolia","iNatAg/quercus_alba","iNatAg/quercus_bicolor","iNatAg/quercus_chrysolepis","iNatAg/quercus_dumosa","iNatAg/quercus_fusiformis","iNatAg/quercus_ilex","iNatAg/quercus_incana","iNatAg/quercus_lanata","iNatAg/quercus_nigra","iNatAg/quercus_phellos","iNatAg/quercus_robur","iNatAg/quercus_semecarpifolia","iNatAg/quercus_suber","iNatAg/quercus_virginiana","iNatAg/quisqualis_indica","iNatAg/ranunculus_abortivus","iNatAg/ranunculus_acris","iNatAg/ranunculus_arbortivus","iNatAg/ranunculus_arvensis","iNatAg/ranunculus_bulbosus","iNatAg/ranunculus_californicus","iNatAg/ranunculus_cymbalaria","iNatAg/ranunculus_ficaria","iNatAg/ranunculus_flabellaris","iNatAg/ranunculus_muricatulus","iNatAg/ranunculus_muricatus","iNatAg/ranunculus_occidentalis","iNatAg/ranunculus_orthorhynchus","iNatAg/ranunculus_parviflorus","iNatAg/ranunculus_sceleratus","iNatAg/ranunculus_testiculatus","iNatAg/ranunculus_trichophyllus","iNatAg/raphanus_raphanistrum","iNatAg/raphanus_sativus","iNatAg/rauvolfia_caffra","iNatAg/rauvolfia_serpentina","iNatAg/reseda_alba","iNatAg/reseda_lutea","iNatAg/retama_monosperma","iNatAg/rhamnus_cathartica","iNatAg/rhamnus_prinoides","iNatAg/rheum_palmatum","iNatAg/rheum_rhaponticum","iNatAg/rhigozum_trichotomum","iNatAg/rhinanthus_crista-galli","iNatAg/rhinanthus_minor","iNatAg/rhizophora_mangle","iNatAg/rhizophora_mucronata","iNatAg/rhizophora_stylosa","iNatAg/rhodiola_rosea","iNatAg/rhododendron_ferrugineum","iNatAg/rhus_copallinum","iNatAg/rhus_glabra","iNatAg/rhus_typhina","iNatAg/rhynchosia_minima","iNatAg/rhynchosia_senna","iNatAg/rhynchosia_sublobata","iNatAg/ribes_hirtellum","iNatAg/ribes_nigrum","iNatAg/ribes_rubrum","iNatAg/ribes_uva-crispa","iNatAg/ribes_viscosissimum","iNatAg/richardia_brasiliensis","iNatAg/richardia_scabra","iNatAg/ricinus_communis","iNatAg/ricinus_comunis","iNatAg/rivina_humilis","iNatAg/robinia_pseudoacacia","iNatAg/roemeria_refracta","iNatAg/rosa_canina","iNatAg/rosa_cinnamomea","iNatAg/rosa_eglanteria","iNatAg/rosa_pendulina","iNatAg/rosa_pimpinellifolia","iNatAg/rosa_rubiginosa","iNatAg/rosa_spinosissima","iNatAg/roseodendron_donnell-smithii","iNatAg/rosmarinus_officinalis","iNatAg/rubia_tinctorum","iNatAg/rubus_ellipticus","iNatAg/rubus_fructicosus","iNatAg/rubus_fruticosus","iNatAg/rubus_hispidus","iNatAg/rubus_idaeus","iNatAg/rubus_moluccanus","iNatAg/rubus_occidentalis","iNatAg/rubus_pensilvanicus","iNatAg/rudbeckia_amplexicaulis","iNatAg/rudbeckia_hirta","iNatAg/rudbeckia_laciniata","iNatAg/rudbeckia_triloba","iNatAg/rumex_acetosa","iNatAg/rumex_acetosella","iNatAg/rumex_aquaticus","iNatAg/rumex_crispus","iNatAg/rumex_dentatus","iNatAg/rumex_hymenosepalus","iNatAg/rumex_longifolius","iNatAg/rumex_maritimus","iNatAg/rumex_obtusifolius","iNatAg/rumex_patienta","iNatAg/rumex_patientia","iNatAg/rumex_pseudonatronatus","iNatAg/rumex_pulcher","iNatAg/rumex_verticillatus","iNatAg/ruppia_maritima","iNatAg/ruscus_aculeatus","iNatAg/ruta_graveolens","iNatAg/saccharum_officinarum","iNatAg/saccharum_sinense","iNatAg/saccharum_spontaneum","iNatAg/sacorstemma_cynanchoides","iNatAg/sagina_procumbens","iNatAg/sagittaria_kurziana","iNatAg/sagittaria_lancifolia","iNatAg/sagittaria_latifolia","iNatAg/sagittaria_sagittifolia","iNatAg/salacca_wallichiana","iNatAg/salacca_zalacca","iNatAg/salicornia_bigelovii","iNatAg/salix_alba","iNatAg/salix_caprea","iNatAg/salix_laevigata","iNatAg/salix_pentandra","iNatAg/salix_viminalis","iNatAg/salsola_kali","iNatAg/salsola_tragus","iNatAg/salsola_vermiculata","iNatAg/salvadora_persica","iNatAg/salvia_lyrata","iNatAg/salvia_officinalis","iNatAg/salvia_sclarea","iNatAg/salvia_verticillata","iNatAg/salvinia_auriculata","iNatAg/samanea_saman","iNatAg/sambucus_canadensis","iNatAg/sambucus_canadiensis","iNatAg/sambucus_cerulea","iNatAg/sambucus_ebulus","iNatAg/sambucus_nigra","iNatAg/sambucus_racemosa","iNatAg/samolus_parviflorus","iNatAg/samolus_valerandi","iNatAg/sanguisorba_minor","iNatAg/sanguisorba_officinalis","iNatAg/sanicula_europaea","iNatAg/santalum_acuminatum","iNatAg/santalum_album","iNatAg/santolina_chamaecyparissus","iNatAg/sapindus_emarginatus","iNatAg/sapindus_saponaria","iNatAg/sapium_sebiferum","iNatAg/saponaria_officinalis","iNatAg/sarcostemma_cynanchoides","iNatAg/satureja_hortensis","iNatAg/satureja_montana","iNatAg/sauropus_androgynus","iNatAg/saururus_cernuus","iNatAg/scandix_pecten-veneris","iNatAg/schima_wallichii","iNatAg/schinus_molle","iNatAg/schinus_terebinthifolia","iNatAg/schinus_terebinthifolius","iNatAg/schismus_arabicus","iNatAg/schizolobium_parahyba","iNatAg/schizomeria_ovata","iNatAg/schleichera_oleosa","iNatAg/scirpus_lacustris","iNatAg/scleranthus_annuus","iNatAg/sclerocarya_caffra","iNatAg/scoparia_dulcis","iNatAg/scorzonera_laciniata","iNatAg/scrophularia_lanceolata","iNatAg/searsia_angustifolia","iNatAg/secale_cereale","iNatAg/secale_montanum","iNatAg/sechium_edule","iNatAg/securidaca_longepedunculata","iNatAg/securidaca_longipedunculata","iNatAg/sedum_acre","iNatAg/sedum_telephium","iNatAg/sehima_nervosum","iNatAg/sempervivum_arachnoideum","iNatAg/sempervivum_tectorum","iNatAg/senecio_elegans","iNatAg/senecio_jacobaea","iNatAg/senecio_madagascariensis","iNatAg/senecio_plattensis","iNatAg/senecio_squalidus","iNatAg/senecio_sylvaticus","iNatAg/senecio_viscosus","iNatAg/senecio_vulgaris","iNatAg/senna_spectabilis","iNatAg/serenoa_repens","iNatAg/sesamum_indicum","iNatAg/sesbania_bispinosa","iNatAg/sesbania_cannabina","iNatAg/sesbania_exaltata","iNatAg/sesbania_formosa","iNatAg/sesbania_grandiflora","iNatAg/sesbania_pachycarpa","iNatAg/sesbania_sesban","iNatAg/setaria_incrassata","iNatAg/setaria_italica","iNatAg/setaria_lindenbergiana","iNatAg/setaria_pumila","iNatAg/seymeria_pectinata","iNatAg/shorea_robusta","iNatAg/shorea_talura","iNatAg/sicyos_angulatus","iNatAg/sida_angustifolia","iNatAg/sida_cordifolia","iNatAg/sida_spinosa","iNatAg/silene_antirrhina","iNatAg/silene_armeria","iNatAg/silene_conica","iNatAg/silene_conoidea","iNatAg/silene_gallica","iNatAg/silene_noctiflora","iNatAg/silene_pendula","iNatAg/silphium_asperrimum","iNatAg/silphium_integrifolium","iNatAg/silphium_laciniatum","iNatAg/silybum_marianum","iNatAg/simarouba_glauca","iNatAg/simmondsia_chinensis","iNatAg/simsia_auriculata","iNatAg/sinapis_alba","iNatAg/sinapis_arvensis","iNatAg/sinapis_incana","iNatAg/siphonochilus_aethiopicus","iNatAg/sisymbrium_altissimum","iNatAg/sisymbrium_erysimoides","iNatAg/sisymbrium_irio","iNatAg/sisymbrium_officinale","iNatAg/sisymbrium_orientale","iNatAg/sisymbrium_sophia","iNatAg/sisyrinchium_montanum","iNatAg/sloanea_woollsii","iNatAg/smilax_aspera","iNatAg/smilax_bona-nox","iNatAg/smilax_laurifolia","iNatAg/smilax_rotundifolia","iNatAg/solanum_aethiopicum","iNatAg/solanum_americanum","iNatAg/solanum_capsicoides","iNatAg/solanum_carolinense","iNatAg/solanum_coriaceum","iNatAg/solanum_dimidiatum","iNatAg/solanum_diphyllum","iNatAg/solanum_dulcamara","iNatAg/solanum_elaeagnifolium","iNatAg/solanum_eleagnifolium","iNatAg/solanum_ellipticum","iNatAg/solanum_ferox","iNatAg/solanum_heterodoxum","iNatAg/solanum_incanum","iNatAg/solanum_jamaicense","iNatAg/solanum_lanceolatum","iNatAg/solanum_macrocarpon","iNatAg/solanum_mammosum","iNatAg/solanum_marginatum","iNatAg/solanum_mauritianum","iNatAg/solanum_melongena","iNatAg/solanum_muricatum","iNatAg/solanum_nigrum","iNatAg/solanum_physalifolium","iNatAg/solanum_pseudo-capsicum","iNatAg/solanum_pseudocapsicum","iNatAg/solanum_quitoense","iNatAg/solanum_sisymbrifolium","iNatAg/solanum_sisymbriifolium","iNatAg/solanum_tampicense","iNatAg/solanum_torvum","iNatAg/solanum_tuberosum","iNatAg/solanum_violaceum","iNatAg/soldanella_alpina","iNatAg/solidago_californica","iNatAg/solidago_canadensis","iNatAg/solidago_fistulosa","iNatAg/solidago_missouriensis","iNatAg/solidago_nemoralis","iNatAg/solidago_rigida","iNatAg/solidago_sempervirens","iNatAg/solidago_virgaurea","iNatAg/sonchus_arvensis","iNatAg/sonchus_oleraceus","iNatAg/sonchus_palustris","iNatAg/sonneratia_apetala","iNatAg/sonneratia_caseolaris","iNatAg/sorbus_aucuparia","iNatAg/sorbus_domestica","iNatAg/sorghum_bicolor","iNatAg/sorghum_drummondii","iNatAg/sorghum_halepense","iNatAg/soymida_febrifuga","iNatAg/sparganium_americanum","iNatAg/sparganium_erectum","iNatAg/spartina_pectinata","iNatAg/spartium_junceum","iNatAg/spathodea_campanulata","iNatAg/spergula_arvensis","iNatAg/spermacoce_verticillata","iNatAg/spinacia_oleracea","iNatAg/spinifex_hirsutus","iNatAg/spirea_tomentosa","iNatAg/spodiopogon_sibiricus","iNatAg/spondias_cythera","iNatAg/spondias_mombin","iNatAg/spondias_purpurea","iNatAg/sporobolus_airoides","iNatAg/sporobolus_fimbriatus","iNatAg/sporobolus_maritimus","iNatAg/sporobolus_neglectus","iNatAg/sporobolus_spicatus","iNatAg/sporobolus_virginicus","iNatAg/stachys_affinis","iNatAg/stachys_palustris","iNatAg/stachytarpheta_incana","iNatAg/stachytarpheta_indica","iNatAg/stellaria_graminea","iNatAg/stellaria_holostea","iNatAg/stellaria_media","iNatAg/stenotaphrum_secundatum","iNatAg/sterculia_foetida","iNatAg/sterculia_urens","iNatAg/sterculia_villosa","iNatAg/stereospermum_kunthianum","iNatAg/stevia_rebaudiana","iNatAg/stipa_baicalensis","iNatAg/stipa_brachychaeta","iNatAg/stipa_capillata","iNatAg/stipa_glareosa","iNatAg/stipa_grandis","iNatAg/stipa_krylovii","iNatAg/stipa_lagascae","iNatAg/stipa_occidentalis","iNatAg/stipa_parviflora","iNatAg/stipa_tenacissima","iNatAg/stipa_trichotoma","iNatAg/stipagrostis_amabilis","iNatAg/stipagrostis_zeyheri","iNatAg/stratiotes_aloides","iNatAg/strychnos_cocculoides","iNatAg/strychnos_innocua","iNatAg/strychnos_spinosa","iNatAg/stylidium_desertorum","iNatAg/stylosanthes_capitata","iNatAg/stylosanthes_fruticosa","iNatAg/stylosanthes_hamata","iNatAg/stylosanthes_humilis","iNatAg/stylosanthes_scabra","iNatAg/stylosanthes_viscosa","iNatAg/succisa_pratensis","iNatAg/swertia_baicalensis","iNatAg/swietenia_macrophylla","iNatAg/swietenia_mahogani","iNatAg/symphoricarpos_mollis","iNatAg/symphoricarpos_occidentalis","iNatAg/symphoricarpos_orbiculatus","iNatAg/symphoricarpos_rotundifolius","iNatAg/symphytum_officinale","iNatAg/syncarpia_glomulifera","iNatAg/syncarpia_hillii","iNatAg/syzygium_cordatum","iNatAg/syzygium_cumini","iNatAg/syzygium_guineense","iNatAg/syzygium_malaccense","iNatAg/syzygium_taiwanicum","iNatAg/tabebuia_rosea","iNatAg/tabebuia_serratifolia","iNatAg/tagetes_minuta","iNatAg/talinum_triangulare","iNatAg/tamarindus_indica","iNatAg/tamarix_aphylla","iNatAg/tamarix_chinensis","iNatAg/tamarix_gallica","iNatAg/tamarix_parviflora","iNatAg/tanacetum_balsamita","iNatAg/tanacetum_vulgare","iNatAg/taraxacum_officinale","iNatAg/taraxia_breviflora","iNatAg/tarchonanthus_camphoratus","iNatAg/taxodium_distichum","iNatAg/taxus_baccata","iNatAg/tecoma_stans","iNatAg/tectona_grandis","iNatAg/tephrosia_candida","iNatAg/tephrosia_lupinifolia","iNatAg/tephrosia_obovata","iNatAg/tephrosia_purpurea","iNatAg/tephrosia_vogelii","iNatAg/teramnus_labialis","iNatAg/terminalia_arjuna","iNatAg/terminalia_bellirica","iNatAg/terminalia_brownii","iNatAg/terminalia_calamansanai","iNatAg/terminalia_catappa","iNatAg/terminalia_chebula","iNatAg/terminalia_ivorensis","iNatAg/terminalia_mantaly","iNatAg/terminalia_myriocarpa","iNatAg/terminalia_paniculata","iNatAg/terminalia_prunioides","iNatAg/terminalia_sericocarpa","iNatAg/terminalia_tomentosa","iNatAg/tetradymia_canescens","iNatAg/tetragonia_tetragonioides","iNatAg/teucrium_botrys","iNatAg/teucrium_canadense","iNatAg/teucrium_chamaedrys","iNatAg/teucrium_polium","iNatAg/thalia_geniculata","iNatAg/thalictrum_pubescens","iNatAg/thaumatococcus_daniellii","iNatAg/themeda_australis","iNatAg/themeda_quadrivalvis","iNatAg/themeda_triandra","iNatAg/theobroma_bicolor","iNatAg/theobroma_cacao","iNatAg/theobroma_grandiflorum","iNatAg/thermopsis_montana","iNatAg/thermopsis_rhombifolia","iNatAg/thespesia_populnea","iNatAg/thlaspi_arvense","iNatAg/thlaspi_perfoliatum","iNatAg/thuja_occidentalis","iNatAg/thymus_serphyllum","iNatAg/thymus_serpyllum","iNatAg/thymus_vulgaris","iNatAg/thyrsostachys_siamensis","iNatAg/thysanolaena_latifolia","iNatAg/tilia_cordata","iNatAg/tilia_platyphyllos","iNatAg/tipuana_tipu","iNatAg/tithonia_diversifolia","iNatAg/toona_ciliata","iNatAg/torenia_glabra","iNatAg/toxicodendron_pubescens","iNatAg/trachypogon_spicatus","iNatAg/tradescantia_bracteata","iNatAg/tradescantia_fluminensis","iNatAg/tradescantia_ohiensis","iNatAg/tradescantia_virginiana","iNatAg/tragia_betonicifolia","iNatAg/tragopogon_lamottei","iNatAg/tragopogon_porrifolius","iNatAg/tragopogon_pratensis","iNatAg/tragus_koelerioides","iNatAg/trapa_natans","iNatAg/trema_orientale","iNatAg/trianthema_portulacastrum","iNatAg/tribulus_cistoides","iNatAg/tribulus_terrestris","iNatAg/trichanthera_gigantea","iNatAg/trichoneura_grandiglumis","iNatAg/trichosanthes_cucumerina","iNatAg/trichostema_lanceolatum","iNatAg/tridax_procumbens","iNatAg/trifolium_africanum","iNatAg/trifolium_alexandrinum","iNatAg/trifolium_ambiguum","iNatAg/trifolium_angustifolium","iNatAg/trifolium_arvense","iNatAg/trifolium_burchellianum","iNatAg/trifolium_campestre","iNatAg/trifolium_carolinianum","iNatAg/trifolium_cherleri","iNatAg/trifolium_dubium","iNatAg/trifolium_fragiferum","iNatAg/trifolium_glanduliferum","iNatAg/trifolium_glomeratum","iNatAg/trifolium_hirtum","iNatAg/trifolium_hybridum","iNatAg/trifolium_incarnatum","iNatAg/trifolium_medium","iNatAg/trifolium_michelianum","iNatAg/trifolium_nigrescens","iNatAg/trifolium_patens","iNatAg/trifolium_pilulare","iNatAg/trifolium_polymorphum","iNatAg/trifolium_pratense","iNatAg/trifolium_reflexum","iNatAg/trifolium_repens","iNatAg/trifolium_resupinatum","iNatAg/trifolium_subterraneum","iNatAg/trifolium_tomentosum","iNatAg/trifolium_variegatum","iNatAg/trifolium_vesiculosum","iNatAg/trifolium_wormskioldii","iNatAg/triglochin_maritima","iNatAg/triglochin_maritimum","iNatAg/triglochin_palustre","iNatAg/trigonella_foenum-graecum","iNatAg/tripsacum_dactyloides","iNatAg/trisetum_flavescens","iNatAg/tristachya_leucothrix","iNatAg/triticum_aestivum","iNatAg/triticum_dicoccoides","iNatAg/triticum_durum","iNatAg/triticum_spelta","iNatAg/triumfetta_rhomboidea","iNatAg/triumfetta_semitriloba","iNatAg/trollius_europaeus","iNatAg/tropaeolum_majus","iNatAg/tropaeolum_tuberosum","iNatAg/tropidocarpum_gracile","iNatAg/turritis_glabra","iNatAg/tussilago_farfara","iNatAg/tylosema_esculentum","iNatAg/typha_angustifolia","iNatAg/typha_domingensis","iNatAg/typha_latifolia","iNatAg/uapaca_kirkiana","iNatAg/ulex_europaeus","iNatAg/ullucus_tuberosus","iNatAg/ulmus_procera","iNatAg/umbilicus_rupestris","iNatAg/uncaria_gambir","iNatAg/urelytrum_agropyroides","iNatAg/urena_lobata","iNatAg/urochloa_mosambicensis","iNatAg/urochloa_panicoides","iNatAg/urtica_chamaedryoide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aritima","iNatAg-mini/alnus_nepalensis","iNatAg-mini/alnus_rubra","iNatAg-mini/alocasia_macrorrhizos","iNatAg-mini/aloe_arborescens","iNatAg-mini/aloe_barbadensis","iNatAg-mini/aloe_ferox","iNatAg-mini/aloe_perryi","iNatAg-mini/alopecurus_arundinaceus","iNatAg-mini/alopecurus_carolinianus","iNatAg-mini/alopecurus_geniculatus","iNatAg-mini/alopecurus_myosuroides","iNatAg-mini/alopecurus_pratensis","iNatAg-mini/alopecurus_rendlei","iNatAg-mini/aloysia_triphylla","iNatAg-mini/alphitonia_excelsa","iNatAg-mini/alpinia_galanga","iNatAg-mini/alstonia_scholaris","iNatAg-mini/alternanthera_pungens","iNatAg-mini/althaea_officinalis","iNatAg-mini/altingia_excelsa","iNatAg-mini/alysicarpus_monilifer","iNatAg-mini/alysicarpus_ovalifolius","iNatAg-mini/alysicarpus_rugosus","iNatAg-mini/alysicarpus_vaginalis","iNatAg-mini/alyssum_desertorum","iNatAg-mini/amaranthus_albus","iNatAg-mini/amaranthus_blitum","iNatAg-mini/amaranthus_caudatus","iNatAg-mini/amaranthus_cruentus","iNatAg-mini/amaranthus_dubius","iNatAg-mini/amaranthus_hybridus","iNatAg-mini/amaranthus_hypochondriacus","iNatAg-mini/amaranthus_lividus","iNatAg-mini/amaranthus_retroflexus","iNatAg-mini/amaranthus_speciosus","iNatAg-mini/amaranthus_spinosus","iNatAg-mini/amaranthus_tricolor","iNatAg-mini/amaranthus_viridis","iNatAg-mini/ambelania_acida","iNatAg-mini/ambrosia_acanthicarpa","iNatAg-mini/ambrosia_artemisiifolia","iNatAg-mini/ambrosia_confertiflora","iNatAg-mini/ambrosia_psilostachya","iNatAg-mini/ambrosia_tomentosa","iNatAg-mini/ambrosia_trifida","iNatAg-mini/ammannia_latifolia","iNatAg-mini/ammi_majus","iNatAg-mini/ammophila_arenaria","iNatAg-mini/ammophila_breviligulata","iNatAg-mini/amorpha_fruticosa","iNatAg-mini/amorphophallus_paeoniifolius","iNatAg-mini/amsinckia_douglasiana","iNatAg-mini/amsinckia_lycopsoides","iNatAg-mini/anacardium_occidentale","iNatAg-mini/anagallis_arvensis","iNatAg-mini/ananas_comosus","iNatAg-mini/anchusa_azurea","iNatAg-mini/andrographis_paniculata","iNatAg-mini/andropogon_barbinodis","iNatAg-mini/andropogon_bicornis","iNatAg-mini/andropogon_brachystachyus","iNatAg-mini/andropogon_gayanus","iNatAg-mini/andropogon_gyrans","iNatAg-mini/andropogon_hallii","iNatAg-mini/andropogon_leucostachyus","iNatAg-mini/andropogon_ternarius","iNatAg-mini/androsace_septentrionalis","iNatAg-mini/anemone_hepatica","iNatAg-mini/anemone_nemorosa","iNatAg-mini/anethum_graveolens","iNatAg-mini/angelica_archangelica","iNatAg-mini/angelica_atropurpurea","iNatAg-mini/angelica_sylvestris","iNatAg-mini/angophora_costata","iNatAg-mini/angophora_floribunda","iNatAg-mini/annona_atemoya","iNatAg-mini/annona_cherimola","iNatAg-mini/annona_diversifolia","iNatAg-mini/annona_montana","iNatAg-mini/annona_muricata","iNatAg-mini/annona_purpurea","iNatAg-mini/annona_reticulata","iNatAg-mini/annona_senegalensis","iNatAg-mini/annona_squamosa","iNatAg-mini/anogeissus_acuminata","iNatAg-mini/anogeissus_latifolia","iNatAg-mini/anogeissus_pendula","iNatAg-mini/antennaria_dioica","iNatAg-mini/anthemis_arvensis","iNatAg-mini/anthemis_cotula","iNatAg-mini/anthemis_tinctoria","iNatAg-mini/anthephora_pubescens","iNatAg-mini/anthoxanthum_odoratum","iNatAg-mini/anthriscus_cerefolium","iNatAg-mini/anthyllis_vulneraria","iNatAg-mini/antidesma_bunius","iNatAg-mini/antirrhinum_majus","iNatAg-mini/aphandra_natalia","iNatAg-mini/aphanes_arvensis","iNatAg-mini/apios_americana","iNatAg-mini/apium_graveolens","iNatAg-mini/apocynum_cannabinum","iNatAg-mini/apocynum_sibiricum","iNatAg-mini/aponogeton_distachyos","iNatAg-mini/aquilaria_malaccensis","iNatAg-mini/aquilegia_canadensis","iNatAg-mini/aquilegia_vulgaris","iNatAg-mini/arachis_glabrata","iNatAg-mini/arachis_hypogaea","iNatAg-mini/arachis_pintoi","iNatAg-mini/arachis_villosa","iNatAg-mini/araucaria_angustifolia","iNatAg-mini/araucaria_bidwillii","iNatAg-mini/araucaria_cunninghamii","iNatAg-mini/araucaria_hunsteinii","iNatAg-mini/arbutus_unedo","iNatAg-mini/archidendron_jiringa","iNatAg-mini/arctium_lappa","iNatAg-mini/arctostaphylos_glandulosa","iNatAg-mini/arctostaphylos_manzanita","iNatAg-mini/arctostaphylos_patula","iNatAg-mini/arctostaphylos_uva-ursi","iNatAg-mini/arctostaphylos_viscida","iNatAg-mini/ardisia_crenata","iNatAg-mini/areca_catechu","iNatAg-mini/arenaria_serpyllifolia","iNatAg-mini/arenga_pinnata","iNatAg-mini/argemone_mexicana","iNatAg-mini/argyrodendron_actinophyllum","iNatAg-mini/argyrodendron_peralatum","iNatAg-mini/aria_alnifolia","iNatAg-mini/aristida_adscensionis","iNatAg-mini/aristida_behriana","iNatAg-mini/aristida_congesta","iNatAg-mini/aristida_junciformis","iNatAg-mini/aristida_lanosa","iNatAg-mini/aristida_latifolia","iNatAg-mini/aristida_longispica","iNatAg-mini/aristida_personata","iNatAg-mini/aristida_purpurascens","iNatAg-mini/aristida_schiedeana","iNatAg-mini/aristida_transvaalensis","iNatAg-mini/aristolochia_rotunda","iNatAg-mini/armoracia_rusticana","iNatAg-mini/arnica_montana","iNatAg-mini/arrhenatherum_elatius","iNatAg-mini/artemisia_abrotanum","iNatAg-mini/artemisia_absinthium","iNatAg-mini/ar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Ag-mini/cassia_nictitans","iNatAg-mini/cassia_reticulata","iNatAg-mini/cassia_senna","iNatAg-mini/cassia_siamea","iNatAg-mini/cassia_sieberiana","iNatAg-mini/cassia_tomentosa","iNatAg-mini/cassia_tora","iNatAg-mini/castanea_crenata","iNatAg-mini/castanea_dentata","iNatAg-mini/castanea_mollissima","iNatAg-mini/castanea_pumila","iNatAg-mini/castanea_sativa","iNatAg-mini/castanospermum_australe","iNatAg-mini/castilla_elastica","iNatAg-mini/castilleja_angustifolia","iNatAg-mini/castilleja_occidentalis","iNatAg-mini/casuarina_cristata","iNatAg-mini/casuarina_cunninghamiana","iNatAg-mini/casuarina_equisetifolia","iNatAg-mini/casuarina_glauca","iNatAg-mini/casuarina_junghuhniana","iNatAg-mini/casuarina_obesa","iNatAg-mini/catalpa_bignonioides","iNatAg-mini/catha_edulis","iNatAg-mini/catharanthus_roseus","iNatAg-mini/ceanothus_americanus","iNatAg-mini/ceanothus_prostratus","iNatAg-mini/cedrela_odorata","iNatAg-mini/cedrus_deodara","iNatAg-mini/ceiba_pentandra","iNatAg-mini/celastrus_orbiculatus","iNatAg-mini/celastrus_scandens","iNatAg-mini/celosia_argentea","iNatAg-mini/celtis_australis","iNatAg-mini/cenchrus_biflorus","iNatAg-mini/cenchrus_ciliaris","iNatAg-mini/cenchrus_echinatus","iNatAg-mini/cenchrus_setigerus","iNatAg-mini/cenchrus_spinifex","iNatAg-mini/cenchrus_tribuloides","iNatAg-mini/centaurea_biebersteinii","iNatAg-mini/centaurea_calcitrapa","iNatAg-mini/centaurea_cyanus","iNatAg-mini/centaurea_diluta","iNatAg-mini/centaurea_jacea","iNatAg-mini/centaurea_melitensis","iNatAg-mini/centaurea_nigra","iNatAg-mini/centaurea_nigrescens","iNatAg-mini/centaurea_solstitalis","iNatAg-mini/centaurea_solstitialis","iNatAg-mini/centaurea_stoebe","iNatAg-mini/centaurea_virgata","iNatAg-mini/centella_asiatica","iNatAg-mini/centropodia_glauca","iNatAg-mini/centrosema_brasilianum","iNatAg-mini/centrosema_macrocarpum","iNatAg-mini/centrosema_pascuorum","iNatAg-mini/centrosema_plumieri","iNatAg-mini/centrosema_pubescens","iNatAg-mini/centrosema_virginianum","iNatAg-mini/cephalanthus_occidentalis","iNatAg-mini/cerastium_arvense","iNatAg-mini/cerastium_nutans","iNatAg-mini/cerastium_vulgatum","iNatAg-mini/ceratonia_siliqua","iNatAg-mini/ceratopetalum_apetalum","iNatAg-mini/ceratophyllum_demersum","iNatAg-mini/ceratophyllum_echinatum","iNatAg-mini/ceriops_tagal","iNatAg-mini/cestrum_diurnum","iNatAg-mini/ceterach_officinarum","iNatAg-mini/chaerophyllum_tainturieri","iNatAg-mini/chamaebatia_foliolosa","iNatAg-mini/chamaecrista_nictitans","iNatAg-mini/chamaecrista_rotundifolia","iNatAg-mini/chamaedorea_tepejilote","iNatAg-mini/chamaerops_humilis","iNatAg-mini/chara_intermedia","iNatAg-mini/chelidonium_majus","iNatAg-mini/chenopodium_album","iNatAg-mini/chenopodium_ambrosioides","iNatAg-mini/chenopodium_ambrosoides","iNatAg-mini/chenopodium_berlandieri","iNatAg-mini/chenopodium_bonus-henricus","iNatAg-mini/chenopodium_botrys","iNatAg-mini/chenopodium_ficifolium","iNatAg-mini/chenopodium_gigantospermum","iNatAg-mini/chenopodium_glaucum","iNatAg-mini/chenopodium_missouriense","iNatAg-mini/chenopodium_multifidum","iNatAg-mini/chenopodium_murale","iNatAg-mini/chenopodium_polyspermum","iNatAg-mini/chenopodium_quinoa","iNatAg-mini/chenopodium_rubrum","iNatAg-mini/chenopodium_urbicum","iNatAg-mini/chloris_ciliata","iNatAg-mini/chloris_gayana","iNatAg-mini/chloris_roxburghiana","iNatAg-mini/chloris_verticillata","iNatAg-mini/chloris_virgata","iNatAg-mini/chlorogalum_pomeridianum","iNatAg-mini/chlorophora_excelsa","iNatAg-mini/chlorophytum_comosum","iNatAg-mini/chloroxylon_swietenia","iNatAg-mini/chromolaena_odorata","iNatAg-mini/chrysanthemum_coronarium","iNatAg-mini/chrysanthemum_leucanthemum","iNatAg-mini/chrysophyllum_cainito","iNatAg-mini/chrysopogon_aciculatus","iNatAg-mini/chukrasia_velutina","iNatAg-mini/cicer_arietinum","iNatAg-mini/cichorium_endivia","iNatAg-mini/cichorium_intybus","iNatAg-mini/cicuta_bulbifera","iNatAg-mini/cicuta_mackenzieana","iNatAg-mini/cicuta_maculata","iNatAg-mini/cicuta_virosa","iNatAg-mini/cimicifuga_racemosa","iNatAg-mini/cinchona_officinalis","iNatAg-mini/cinchona_pubescens","iNatAg-mini/cinnamomum_burmannii","iNatAg-mini/cinnamomum_camphora","iNatAg-mini/cinnamomum_cassia","iNatAg-mini/cinnamomum_verum","iNatAg-mini/cistus_creticus","iNatAg-mini/citrofortunella_microcarpa","iNatAg-mini/citrullus_colocynthis","iNatAg-mini/citrullus_lanatus","iNatAg-mini/citrus_aurantifolia","iNatAg-mini/citrus_aurantium","iNatAg-mini/citrus_deliciosa","iNatAg-mini/citrus_latifolia","iNatAg-mini/citrus_limon","iNatAg-mini/citrus_madurensis","iNatAg-mini/citrus_medica","iNatAg-mini/citrus_paradisi","iNatAg-mini/citrus_reticulata","iNatAg-mini/citrus_sinensis","iNatAg-mini/citrus_unshiu","iNatAg-mini/clausena_lansium","iNatAg-mini/claytonia_caroliniana","iNatAg-mini/claytonia_virginica","iNatAg-mini/cleistogenes_squarrosa","iNatAg-mini/clematis_ligusticifolia","iNatAg-mini/clematis_orientalis","iNatAg-mini/clematis_virginiana","iNatAg-mini/clematis_vitalba","iNatAg-mini/cleome_gynandra","iNatAg-mini/cleome_hassleriana","iNatAg-mini/cleome_viscosa","iNatAg-mini/clitoria_laurifolia","iNatAg-mini/clitoria_ternatea","iNatAg-mini/clusia_occidentalis","iNatAg-mini/cnicus_benedictus","iNatAg-mini/coccoloba_uvifera","iNatAg-mini/cochlospermum_religiosum","iNatAg-mini/cocos_nucifera","iNatAg-mini/coffea_arabica","iNatAg-mini/coffea_canephora","iNatAg-mini/coffea_liberica","iNatAg-mini/coix_lacryma-jobi","iNatAg-mini/cola_acuminata","iNatAg-mini/cola_nitida","iNatAg-mini/colchicum_autumnale","iNatAg-mini/coleus_amboinicus","iNatAg-mini/colocasia_esculenta","iNatAg-mini/colophospermum_mopane","iNatAg-mini/combretum_aculeatum","iNatAg-mini/combretum_micranthum","iNatAg-mini/combretum_molle","iNatAg-mini/commelina_bengalensis","iNatAg-mini/commelina_benghalensis","iNatAg-mini/commelina_communis","iNatAg-mini/commelina_erecta","iNatAg-mini/commiphora_africana","iNatAg-mini/conium_maculatum","iNatAg-mini/conocarpus_erectus","iNatAg-mini/conocarpus_lancifolius","iNatAg-mini/convallaria_majalis","iNatAg-mini/convolvulus_althaeoides","iNatAg-mini/convolvulus_arvensis","iNatAg-mini/convolvulus_equitans","iNatAg-mini/convolvulus_sepium","iNatAg-mini/copaifera_langsdorffii","iNatAg-mini/corchorus_aestuans","iNatAg-mini/corchorus_capsularis","iNatAg-mini/cordia_africana","iNatAg-mini/cordia_alliodora","iNatAg-mini/coreopsis_lanceolata","iNatAg-mini/coreopsis_tinctoria","iNatAg-mini/coreopsis_verticillata","iNatAg-mini/coriandrum_sativum","iNatAg-mini/corispermum_hyssopifolium","iNatAg-mini/corispermum_villosum","iNatAg-mini/cornus_canadensis","iNatAg-mini/cornus_florida","iNatAg-mini/cornus_mas","iNatAg-mini/cornus_sanguinea","iNatAg-mini/coronilla_varia","iNatAg-mini/corylus_avellana","iNatAg-mini/corylus_maxima","iNatAg-mini/cotoneaster_franchetii","iNatAg-mini/cotula_coronopifolia","iNatAg-mini/crambe_cordifolia","iNatAg-mini/crambe_maritima","iNatAg-mini/crassula_sieberiana","iNatAg-mini/crataegus_crus-galli","iNatAg-mini/crataegus_crus-gallii","iNatAg-mini/crataegus_marshallii","iNatAg-mini/crataegus_monogyna","iNatAg-mini/crataegus_oxyacantha","iNatAg-mini/crataegus_rivularis","iNatAg-mini/cratylia_argentea","iNatAg-mini/crepis_biennis","iNatAg-mini/crepis_occidentalis","iNatAg-mini/crepis_vesicaria","iNatAg-mini/cressa_truxillensis","iNatAg-mini/crinum_americanum","iNatAg-mini/crithmum_maritimum","iNatAg-mini/crocus_sativus","iNatAg-mini/crotalaria_juncea","iNatAg-mini/crotalaria_lanceolata","iNatAg-mini/crotalaria_pallida","iNatAg-mini/crotalaria_podocarpa","iNatAg-mini/crotalaria_retusa","iNatAg-mini/crotalaria_sagittalis","iNatAg-mini/crotalaria_spectabilis","iNatAg-mini/croton_monanthogynus","iNatAg-mini/crucianella_angustifolia","iNatAg-mini/cryptocarya_erythroxylon","iNatAg-mini/cryptomeria_japonica","iNatAg-mini/cryptotaenia_japonica","iNatAg-mini/ctenium_concinnum","iNatAg-mini/cucumis_anguria","iNatAg-mini/cucumis_melo","iNatAg-mini/cucumis_sativus","iNatAg-mini/cucurbita_argyrosperma","iNatAg-mini/cucurbita_digitata","iNatAg-mini/cucurbita_ficifolia","iNatAg-mini/cucurbita_foetidissima","iNatAg-mini/cucurbita_maxima","iNatAg-mini/cucurbita_mixta","iNatAg-mini/cucurbita_moschata","iNatAg-mini/cucurbita_pepo","iNatAg-mini/cunninghamia_lanceolata","iNatAg-mini/cupania_auriculata","iNatAg-mini/cuphea_viscosissima","iNatAg-mini/cupressus_arizonica","iNatAg-mini/cupressus_lusitanica","iNatAg-mini/cupressus_macrocarpa","iNatAg-mini/cupressus_sempervirens","iNatAg-mini/cupressus_torulosa","iNatAg-mini/curcuma_longa","iNatAg-mini/curcuma_zedoaria","iNatAg-mini/cuscuta_approximata","iNatAg-mini/cuscuta_epithymum","iNatAg-mini/cuscuta_obtusiflora","iNatAg-mini/cuscuta_planiflora","iNatAg-mini/cuscuta_sandwichiana","iNatAg-mini/cydonia_oblonga","iNatAg-mini/cymbalaria_muralis","iNatAg-mini/cymbopogon_citratus","iNatAg-mini/cynanchum_scoparium","iNatAg-mini/cynara_cardunculus","iNatAg-mini/cynara_scolymus","iNatAg-mini/cynodon_dactylon","iNatAg-mini/cynodon_nlemfuensis","iNatAg-mini/cynoglossum_officinale","iNatAg-mini/cynometra_cauliflora","iNatAg-mini/cynosurus_cristatus","iNatAg-mini/cyperus_alopecuroides","iNatAg-mini/cyperus_articulatus","iNatAg-mini/cyperus_compressus","iNatAg-mini/cyperus_croceus","iNatAg-mini/cyperus_cuspidatus","iNatAg-mini/cyperus_difformis","iNatAg-mini/cyperus_eragrostis","iNatAg-mini/cyperus_erythrorhizos","iNatAg-mini/cyperus_esculentus","iNatAg-mini/cyperus_flavescens","iNatAg-mini/cyperus_fuscus","iNatAg-mini/cyperus_hyalinus","iNatAg-mini/cyperus_involucratus","iNatAg-mini/cyperus_iria","iNatAg-mini/cyperus_lanceolatus","iNatAg-mini/cyperus_longus","iNatAg-mini/cyperus_odoratus","iNatAg-mini/cyperus_pilosus","iNatAg-mini/cyperus_prolifer","iNatAg-mini/cyperus_pseudovegetus","iNatAg-mini/cyperus_rotundus","iNatAg-mini/cyperus_sanguinolentus","iNatAg-mini/cyperus_squarrosus","iNatAg-mini/cyperus_strigosus","iNatAg-mini/cyperus_subsquarrosus","iNatAg-mini/cyperus_surinamensis","iNatAg-mini/cyphomandra_betacea","iNatAg-mini/cytisus_albus","iNatAg-mini/cytisus_proliferus","iNatAg-mini/cytisus_supinus","iNatAg-mini/dacrydium_franklinii","iNatAg-mini/dactylis_glomerata","iNatAg-mini/dactyloctenium_aegyptium","iNatAg-mini/dactyloctenium_giganteum","iNatAg-mini/dalbergia_latifolia","iNatAg-mini/dalbergia_melanoxylon","iNatAg-mini/dalbergia_sissoo","iNatAg-mini/daphne_laureola","iNatAg-mini/daphne_mezereum","iNatAg-mini/datura_ferox","iNatAg-mini/datura_quercifolia","iNatAg-mini/datura_stramonium","iNatAg-mini/daucus_carota","iNatAg-mini/daucus_carrota","iNatAg-mini/delairea_odorata","iNatAg-mini/delonix_regia","iNatAg-mini/delphinium_bicolor","iNatAg-mini/delphinium_carolinianum","iNatAg-mini/delphinium_menziesii","iNatAg-mini/delphinium_trolliifolium","iNatAg-mini/dendrocalamus_asper","iNatAg-mini/dendrocalamus_giganteus","iNatAg-mini/dendrocalamus_strictus","iNatAg-mini/dendrolobium_umbellatum","iNatAg-mini/derris_elliptica","iNatAg-mini/deschampsia_caespitosa","iNatAg-mini/deschampsia_flexuosa","iNatAg-mini/desmanthus_leptophyllus","iNatAg-mini/desmanthus_virgatus","iNatAg-mini/desmodium_affine","iNatAg-mini/desmodium_barbatum","iNatAg-mini/desmodium_cuneatum","iNatAg-mini/desmodium_cuspidatum","iNatAg-mini/desmodium_distortum","iNatAg-mini/desmodium_gyroides","iNatAg-mini/desmodium_heterophyllum","iNatAg-mini/desmodium_incanum","iNatAg-mini/desmodium_intortum","iNatAg-mini/desmodium_paniculatum","iNatAg-mini/desmodium_psilocarpum","iNatAg-mini/desmodium_reticulatum","iNatAg-mini/desmodium_sandwicense","iNatAg-mini/desmodium_scorpiurus","iNatAg-mini/desmodium_tortuosum","iNatAg-mini/desmodium_triflorum","iNatAg-mini/desmodium_uncinatum","iNatAg-mini/desmodium_velutinum","iNatAg-mini/dialium_guineense","iNatAg-mini/dianthus_armeria","iNatAg-mini/dichanthium_annulatum","iNatAg-mini/dichanthium_aristatum","iNatAg-mini/dichanthium_caricosum","iNatAg-mini/dichanthium_sericeum","iNatAg-mini/dichondra_carolinensis","iNatAg-mini/dichondra_micrantha","iNatAg-mini/dichrostachys_cinerea","iNatAg-mini/dictamnus_albus","iNatAg-mini/didymopanax_morototoni","iNatAg-mini/diervilla_lonicera","iNatAg-mini/digitalis_lanata","iNatAg-mini/digitalis_lutea","iNatAg-mini/digitalis_purpurea","iNatAg-mini/digitaria_argyrograpta","iNatAg-mini/digitaria_ciliaris","iNatAg-mini/digitaria_decumbens","iNatAg-mini/digitaria_didactyla","iNatAg-mini/digitaria_eriantha","iNatAg-mini/digitaria_tricholaenoides","iNatAg-mini/digitaria_violascens","iNatAg-mini/dillenia_indica","iNatAg-mini/dillenia_pentagyna","iNatAg-mini/diodia_virginiana","iNatAg-mini/dioscorea_alata","iNatAg-mini/dioscorea_bulbifera","iNatAg-mini/dioscorea_esculenta","iNatAg-mini/dioscorea_opposita","iNatAg-mini/dioscorea_oppositifolia","iNatAg-mini/dioscorea_trifida","iNatAg-mini/diospyros_digyna","iNatAg-mini/diospyros_kaki","iNatAg-mini/diospyros_malabarica","iNatAg-mini/diospyros_melanoxylon","iNatAg-mini/diospyros_mespiliformis","iNatAg-mini/diospyros_virginiana","iNatAg-mini/diplachne_fusca","iNatAg-mini/diploglottis_cunninghamii","iNatAg-mini/dipsacus_fullonum","iNatAg-mini/dipsacus_laciniatus","iNatAg-mini/dipsacus_sylvestris","iNatAg-mini/dipterocarpus_alatus","iNatAg-mini/dipterocarpus_indicus","iNatAg-mini/dipterocarpus_turbinatus","iNatAg-mini/dodonaea_viscosa","iNatAg-mini/dovyalis_caffra","iNatAg-mini/dovyalis_hebecarpa","iNatAg-mini/draba_nemorosa","iNatAg-mini/draba_verna","iNatAg-mini/dracocephalum_parviflorum","iNatAg-mini/dracocephalum_thymiflorum","iNatAg-mini/drosera_rotundifolia","iNatAg-mini/dryopteris_filix-mas","iNatAg-mini/duboisia_myoporoides","iNatAg-mini/durio_zibethinus","iNatAg-mini/dysoxylum_fraserianum","iNatAg-mini/ecballium_elaterium","iNatAg-mini/echinacea_purpurea","iNatAg-mini/echinochloa_colona","iNatAg-mini/echinochloa_crus-galli","iNatAg-mini/echinochloa_frumentacea","iNatAg-mini/echinochloa_polystachya","iNatAg-mini/echinochloa_pyramidalis","iNatAg-mini/echinops_sphaerocephalus","iNatAg-mini/echium_plantagineum","iNatAg-mini/echium_vulgare","iNatAg-mini/ehrharta_calycina","iNatAg-mini/ehrharta_erecta","iNatAg-mini/ehrharta_longiflora","iNatAg-mini/ehrharta_villosa","iNatAg-mini/eichhornia_crassipes","iNatAg-mini/ekebergia_capensis","iNatAg-mini/elaeagnus_angustifolia","iNatAg-mini/elaeagnus_multiflora","iNatAg-mini/elaeis_guineensis","iNatAg-mini/elaeis_oleifera","iNatAg-mini/elaeocarpus_grandis","iNatAg-mini/eleagnus_angustifolia","iNatAg-mini/elegia_cuspidata","iNatAg-mini/eleocharis_cellulosa","iNatAg-mini/eleocharis_dulcis","iNatAg-mini/eleocharis_macrostachya","iNatAg-mini/eleocharis_montevidensis","iNatAg-mini/eleocharis_vivipara","iNatAg-mini/elephantopus_mollis","iNatAg-mini/elephantorrhiza_elephantina","iNatAg-mini/elettaria_cardamomum","iNatAg-mini/eleusine_indica","iNatAg-mini/ellisia_nyctelea","iNatAg-mini/elsholtzia_ciliata","iNatAg-mini/elymus_canadensis","iNatAg-mini/elymus_caput-medusae","iNatAg-mini/elymus_cinereus","iNatAg-mini/elymus_condensatus","iNatAg-mini/elymus_dahuricus","iNatAg-mini/elymus_glaucus","iNatAg-mini/elymus_viginicus","iNatAg-mini/elymus_virginicus","iNatAg-mini/emilia_sonchifolia","iNatAg-mini/encalypta_i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ra","iNatAg-mini/intsia_bijuga","iNatAg-mini/inula_britannica","iNatAg-mini/inula_helenium","iNatAg-mini/ipomoea_alba","iNatAg-mini/ipomoea_aquatica","iNatAg-mini/ipomoea_batatas","iNatAg-mini/ipomoea_coccinea","iNatAg-mini/ipomoea_hederifolia","iNatAg-mini/ipomoea_lacunosa","iNatAg-mini/ipomoea_quamoclit","iNatAg-mini/ipomoea_tricolor","iNatAg-mini/ipomoea_triloba","iNatAg-mini/ipomoea_turbinata","iNatAg-mini/iris_germanica","iNatAg-mini/iris_missouriensis","iNatAg-mini/iris_pseudacorus","iNatAg-mini/iris_pseudoacorus","iNatAg-mini/iris_virginica","iNatAg-mini/isatis_tinctoria","iNatAg-mini/ischaemum_ciliare","iNatAg-mini/ischaemum_muticum","iNatAg-mini/ischaemum_rugosum","iNatAg-mini/iseilema_vaginiflorum","iNatAg-mini/iva_angustifolia","iNatAg-mini/iva_annua","iNatAg-mini/jacaranda_copaia","iNatAg-mini/jacaranda_mimosifolia","iNatAg-mini/jatropha_curcas","iNatAg-mini/jatropha_gossypifolia","iNatAg-mini/jatropha_gossypiifolia","iNatAg-mini/juglans_hindsii","iNatAg-mini/juglans_nigra","iNatAg-mini/juglans_regia","iNatAg-mini/juncus_bufonius","iNatAg-mini/juncus_effusus","iNatAg-mini/juniperus_communis","iNatAg-mini/juniperus_occidentalis","iNatAg-mini/juniperus_pinchotii","iNatAg-mini/juniperus_procera","iNatAg-mini/juniperus_sabina","iNatAg-mini/justicia_adhatoda","iNatAg-mini/kalmia_angustifolia","iNatAg-mini/khaya_anthotheca","iNatAg-mini/khaya_senegalensis","iNatAg-mini/kigelia_pinnata","iNatAg-mini/kyllinga_gracillima","iNatAg-mini/kyllinga_odorata","iNatAg-mini/lablab_purpureus","iNatAg-mini/lactuca_canadensis","iNatAg-mini/lactuca_indica","iNatAg-mini/lactuca_saligna","iNatAg-mini/lactuca_serriola","iNatAg-mini/lactuca_virosa","iNatAg-mini/lagascea_mollis","iNatAg-mini/lagenaria_siceraria","iNatAg-mini/lagerstroemia_flos-reginae","iNatAg-mini/lagerstroemia_lanceolata","iNatAg-mini/lagerstroemia_parviflora","iNatAg-mini/laguncularia_racemosa","iNatAg-mini/lamium_album","iNatAg-mini/lamium_amplexicaule","iNatAg-mini/lamium_maculatum","iNatAg-mini/lamium_purpureum","iNatAg-mini/lannea_coromandelica","iNatAg-mini/lannea_edulis","iNatAg-mini/lansium_domesticum","iNatAg-mini/lantana_camara","iNatAg-mini/lapsana_communis","iNatAg-mini/larix_decidua","iNatAg-mini/larrea_divaricata","iNatAg-mini/lathyrus_angulatus","iNatAg-mini/lathyrus_cicera","iNatAg-mini/lathyrus_hirsutus","iNatAg-mini/lathyrus_latifolius","iNatAg-mini/lathyrus_ochrus","iNatAg-mini/lathyrus_odoratus","iNatAg-mini/lathyrus_palustris","iNatAg-mini/lathyrus_pratensis","iNatAg-mini/lathyrus_pubescens","iNatAg-mini/lathyrus_sativus","iNatAg-mini/lathyrus_tingitanus","iNatAg-mini/lathyrus_tuberosus","iNatAg-mini/laurus_nobilis","iNatAg-mini/lavandula_angustifolia","iNatAg-mini/lavandula_dentata","iNatAg-mini/lavandula_latifolia","iNatAg-mini/lawsonia_inermis","iNatAg-mini/ledum_groenlandicum","iNatAg-mini/leersia_hexandra","iNatAg-mini/leersia_lenticularis","iNatAg-mini/lemna_aequinoctialis","iNatAg-mini/lemna_gibba","iNatAg-mini/lemna_minor","iNatAg-mini/lemna_trisulca","iNatAg-mini/lens_culinaris","iNatAg-mini/leontodon_autumnale","iNatAg-mini/leontodon_autumnalis","iNatAg-mini/leontodon_hirtus","iNatAg-mini/leontodon_saxatilis","iNatAg-mini/leontopodium_alpinum","iNatAg-mini/leonurus_cardiaca","iNatAg-mini/leonurus_marrubiastrum","iNatAg-mini/leonurus_sibericus","iNatAg-mini/leonurus_sibiricus","iNatAg-mini/lepidium_austrinum","iNatAg-mini/lepidium_chalepense","iNatAg-mini/lepidium_didymum","iNatAg-mini/lepidium_draba","iNatAg-mini/lepidium_lasiocarpum","iNatAg-mini/lepidium_latifolium","iNatAg-mini/lepidium_perfoliatum","iNatAg-mini/lepidium_ruderale","iNatAg-mini/lepidium_sativum","iNatAg-mini/lepidium_virginicum","iNatAg-mini/leptochloa_chinensis","iNatAg-mini/leptochloa_fusca","iNatAg-mini/leptochloa_nealleyi","iNatAg-mini/lespedeza_cuneata","iNatAg-mini/lespedeza_striata","iNatAg-mini/lesquerella_fendleri","iNatAg-mini/leucaena_diversifolia","iNatAg-mini/leucaena_leucocephala","iNatAg-mini/leucanthemum_vulgare","iNatAg-mini/leucojum_aestivum","iNatAg-mini/levisticum_officinale","iNatAg-mini/liatris_mucronata","iNatAg-mini/licuala_ramsayi","iNatAg-mini/ligustrum_ovalifolium","iNatAg-mini/ligustrum_vulgare","iNatAg-mini/lilium_canadense","iNatAg-mini/lilium_candidum","iNatAg-mini/limnanthes_alba","iNatAg-mini/limnophila_sessiliflora","iNatAg-mini/linaria_vulgaris","iNatAg-mini/lindernia_grandiflora","iNatAg-mini/linum_usitatissimum","iNatAg-mini/lippia_alba","iNatAg-mini/liquidambar_styraciflua","iNatAg-mini/liriodendron_tulipifera","iNatAg-mini/litchi_chinensis","iNatAg-mini/lithospermum_arvense","iNatAg-mini/lithospermum_officinale","iNatAg-mini/livistona_australis","iNatAg-mini/lobelia_inflata","iNatAg-mini/lobelia_siphilitica","iNatAg-mini/lolium_multiflorum","iNatAg-mini/lolium_perenne","iNatAg-mini/lolium_rigidum","iNatAg-mini/lolium_temulentum","iNatAg-mini/lonchocarpus_laxiflorus","iNatAg-mini/lonicera_caerulea","iNatAg-mini/lonicera_caprifolium","iNatAg-mini/lonicera_periclymenum","iNatAg-mini/lonicera_sempervirens","iNatAg-mini/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assiflora_foetida","iNatAg-mini/passiflora_incarnata","iNatAg-mini/passiflora_laurifolia","iNatAg-mini/passiflora_ligularis","iNatAg-mini/passiflora_lutea","iNatAg-mini/passiflora_mollissima","iNatAg-mini/passiflora_quadrangularis","iNatAg-mini/passiflora_suberosa","iNatAg-mini/pastinaca_sativa","iNatAg-mini/paullinia_cupana","iNatAg-mini/paulownia_tomentosa","iNatAg-mini/peganum_harmala","iNatAg-mini/pelargonium_graveolens","iNatAg-mini/peltandra_sagittifolia","iNatAg-mini/peltandra_virginica","iNatAg-mini/peltophorum_africanum","iNatAg-mini/peltophorum_pterocarpum","iNatAg-mini/pennisetum_clandestinum","iNatAg-mini/pennisetum_glaucum","iNatAg-mini/pennisetum_macrourum","iNatAg-mini/pennisetum_pedicellatum","iNatAg-mini/pennisetum_polystachyon","iNatAg-mini/pennisetum_purpureum","iNatAg-mini/pennisetum_setaceum","iNatAg-mini/pennisetum_villosum","iNatAg-mini/perilla_frutescens","iNatAg-mini/persea_americana","iNatAg-mini/persicaria_maculosa","iNatAg-mini/persoonia_falcata","iNatAg-mini/petalostigma_pubescens","iNatAg-mini/petasites_albus","iNatAg-mini/petasites_hybridus","iNatAg-mini/petroselinum_crispum","iNatAg-mini/petunia_parviflora","iNatAg-mini/peucedanum_ostruthium","iNatAg-mini/phalaris_aquatica","iNatAg-mini/phalaris_arundinacea","iNatAg-mini/phalaris_arundinaceae","iNatAg-mini/phalaris_brachystachys","iNatAg-mini/phalaris_canariensis","iNatAg-mini/phalaris_caroliniana","iNatAg-mini/phalaris_coerulescens","iNatAg-mini/phalaris_paradoxa","iNatAg-mini/phaseolus_acutifolius","iNatAg-mini/phaseolus_coccineus","iNatAg-mini/phaseolus_lunatus","iNatAg-mini/phaseolus_vulgaris","iNatAg-mini/phleum_alpinum","iNatAg-mini/phleum_pratense","iNatAg-mini/phoenix_dactylifera","iNatAg-mini/phoenix_reclinata","iNatAg-mini/phoenix_sylvestris","iNatAg-mini/phormium_tenax","iNatAg-mini/phragmites_australis","iNatAg-mini/phragmites_communis","iNatAg-mini/phragmites_karka","iNatAg-mini/phyllanthus_niruri","iNatAg-mini/phyllanthus_tenellus","iNatAg-mini/phyllanthus_urinaria","iNatAg-mini/phyllocladus_aspleniifolius","iNatAg-mini/physalis_alkekengi","iNatAg-mini/physalis_angulata","iNatAg-mini/physalis_heterophylla","iNatAg-mini/physalis_lancifolia","iNatAg-mini/physalis_peruviana","iNatAg-mini/physalis_philadelphica","iNatAg-mini/physalis_pubescens","iNatAg-mini/physalis_virginiana","iNatAg-mini/physalis_viscosa","iNatAg-mini/phytolacca_acinosa","iNatAg-mini/phytolacca_americana","iNatAg-mini/phytolacca_dioica","iNatAg-mini/picea_abies","iNatAg-mini/picea_omorica","iNatAg-mini/picea_omorika","iNatAg-mini/picris_echioides","iNatAg-mini/picris_hieracioides","iNatAg-mini/piliostigma_reticulatum","iNatAg-mini/piliostigma_thonningii","iNatAg-mini/pimenta_dioica","iNatAg-mini/pimenta_racemosa","iNatAg-mini/pimpinella_anisum","iNatAg-mini/pimpinella_saxifraga","iNatAg-mini/pinguicula_vulgaris","iNatAg-mini/pinus_ayacahuite","iNatAg-mini/pinus_brutia","iNatAg-mini/pinus_canariensis","iNatAg-mini/pinus_caribaea","iNatAg-mini/pinus_chiapensis","iNatAg-mini/pinus_douglasiana","iNatAg-mini/pinus_durangensis","iNatAg-mini/pinus_greggii","iNatAg-mini/pinus_halepensis","iNatAg-mini/pinus_hartwegii","iNatAg-mini/pinus_kesiya","iNatAg-mini/pinus_merkusii","iNatAg-mini/pinus_montezumae","iNatAg-mini/pinus_mugo","iNatAg-mini/pinus_occidentalis","iNatAg-mini/pinus_oocarpa","iNatAg-mini/pinus_palustris","iNatAg-mini/pinus_patula","iNatAg-mini/pinus_pinaster","iNatAg-mini/pinus_pinea","iNatAg-mini/pinus_ponderosa","iNatAg-mini/pinus_pseudostrobus","iNatAg-mini/pinus_radiata","iNatAg-mini/pinus_roxburghii","iNatAg-mini/pinus_sylvestris","iNatAg-mini/pinus_tabuliformis","iNatAg-mini/pinus_taeda","iNatAg-mini/pinus_teocote","iNatAg-mini/piper_aduncum","iNatAg-mini/piper_betle","iNatAg-mini/piper_longum","iNatAg-mini/piper_methysticum","iNatAg-mini/piper_nigrum","iNatAg-mini/pistacia_atlantica","iNatAg-mini/pistacia_lentiscus","iNatAg-mini/pistacia_vera","iNatAg-mini/pistia_stratiotes","iNatAg-mini/pisum_sativum","iNatAg-mini/pithecellobium_dulce","iNatAg-mini/pittosporum_resiniferum","iNatAg-mini/pittosporum_undulatum","iNatAg-mini/plagiobothrys_canescens","iNatAg-mini/plantago_coronopus","iNatAg-mini/plantago_heterophylla","iNatAg-mini/plantago_indica","iNatAg-mini/plantago_lanceolata","iNatAg-mini/plantago_major","iNatAg-mini/plantago_media","iNatAg-mini/plantago_ovata","iNatAg-mini/plantago_psyllium","iNatAg-mini/plantago_virginica","iNatAg-mini/platanus_orientalis","iNatAg-mini/poa_alpina","iNatAg-mini/poa_annua","iNatAg-mini/poa_bulbosa","iNatAg-mini/poa_compressa","iNatAg-mini/poa_cuspidata","iNatAg-mini/poa_fendleriana","iNatAg-mini/poa_nemoralis","iNatAg-mini/poa_pratensis","iNatAg-mini/poa_trivialis","iNatAg-mini/podocarpus_elatus","iNatAg-mini/podocarpus_falcatus","iNatAg-mini/poeciloneuron_indicum","iNatAg-mini/pogostemon_cablin","iNatAg-mini/polemonium_caeruleum","iNatAg-mini/polemonium_micranthum","iNatAg-mini/polyalthia_fragrans","iNatAg-mini/polycarpon_tetraphyllum","iNatAg-mini/polygonatum_orientale","iNatAg-mini/polygonum_achore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iscaria","iNatAg/lycium_barbarum","iNatAg/lycium_berlandieri","iNatAg/lycium_chinense","iNatAg/lycium_ferocissimum","iNatAg/lycium_halimifolium","iNatAg/lycopersicon_esculentum","iNatAg/lycopodium_clavatum","iNatAg/lycopus_europaeus","iNatAg/lysimachia_ciliata","iNatAg/lysimachia_nummularia","iNatAg/lysimachia_punctata","iNatAg/lysimachia_vulgaris","iNatAg/lythrum_hyssopifolia","iNatAg/lythrum_salicaria","iNatAg/lythrum_virgatum","iNatAg/macadamia_integrifolia","iNatAg/macadamia_tetraphylla","iNatAg/macaranga_tanarius","iNatAg/macroptilium_atropurpureum","iNatAg/macroptilium_erythroloma","iNatAg/macroptilium_gracile","iNatAg/macroptilium_lathyroides","iNatAg/macroptilium_longepedunculatum","iNatAg/macrotyloma_axillare","iNatAg/maesopsis_eminii","iNatAg/maianthemum_canadense","iNatAg/majorana_hortensis","iNatAg/malachra_alceifolia","iNatAg/mallotus_philippensis","iNatAg/malpighia_glabra","iNatAg/malus_domestica","iNatAg/malus_sylvestris","iNatAg/malva_alcea","iNatAg/malva_moschata","iNatAg/malva_nicaeensis","iNatAg/malva_parviflora","iNatAg/malva_pusilla","iNatAg/malva_rotundifolia","iNatAg/malva_silvestris","iNatAg/malva_sylvestris","iNatAg/mammea_americana","iNatAg/mangifera_indica","iNatAg/manihot_esculenta","iNatAg/manilkara_zapota","iNatAg/maranta_arundinacea","iNatAg/markhamia_lutea","iNatAg/marrubium_vulgare","iNatAg/marsilea_quadrifolia","iNatAg/matricaria_chamomila","iNatAg/matricaria_chamomilla","iNatAg/matricaria_discoidea","iNatAg/matricaria_perforata","iNatAg/matricaria_recutita","iNatAg/mauritia_flexuosa","iNatAg/mayaca_fluviatilis","iNatAg/medicago_arabica","iNatAg/medicago_falcata","iNatAg/medicago_intertexta","iNatAg/medicago_laciniata","iNatAg/medicago_littoralis","iNatAg/medicago_lupulina","iNatAg/medicago_marina","iNatAg/medicago_minima","iNatAg/medicago_orbicularis","iNatAg/medicago_polymorpha","iNatAg/medicago_rigidula","iNatAg/medicago_rugosa","iNatAg/medicago_sativa","iNatAg/medicago_scutellata","iNatAg/medicago_tornata","iNatAg/medicago_truncatula","iNatAg/medicago_turbinata","iNatAg/melaleuca_bracteata","iNatAg/melaleuca_cajuputi","iNatAg/melaleuca_dealbata","iNatAg/melaleuca_lanceolata","iNatAg/melaleuca_leucadendron","iNatAg/melaleuca_nervosa","iNatAg/melaleuca_quinquenervia","iNatAg/melaleuca_viridiflora","iNatAg/melampyrum_lineare","iNatAg/melastoma_malabathricum","iNatAg/melastoma_melabathricum","iNatAg/melia_azedarach","iNatAg/melica_decumbens","iNatAg/melicoccus_bijugatus","iNatAg/melilotus_albus","iNatAg/melilotus_indica","iNatAg/melilotus_officinalis","iNatAg/melilotus_suaveolens","iNatAg/melinis_minutiflora","iNatAg/melissa_officinalis","iNatAg/melochia_corchorifolia","iNatAg/melothria_pendula","iNatAg/mentha_arvensis","iNatAg/mentha_longifolia","iNatAg/mentha_piperita","iNatAg/mentha_pulegium","iNatAg/mentha_rotundifolia","iNatAg/mentha_spicata","iNatAg/menyanthes_trifoliata","iNatAg/mercurialis_annua","iNatAg/mesembryanthemum_cristallinum","iNatAg/mesembryanthemum_noctiflorum","iNatAg/mespilus_germanica","iNatAg/mesua_ferrea","iNatAg/metroxylon_sagu","iNatAg/michelia_champaca","iNatAg/microstegium_ciliatum","iNatAg/miliusa_velutina","iNatAg/mimosa_casta","iNatAg/mimosa_dutrae","iNatAg/mimosa_pigra","iNatAg/mimosa_pudica","iNatAg/mirabilis_jalapa","iNatAg/molinia_caerulea","iNatAg/mollugo_verticillata","iNatAg/momordica_charantia","iNatAg/momordica_cochinchinensis","iNatAg/monarda_fistulosa","iNatAg/monarda_punctata","iNatAg/monochoria_hastata","iNatAg/monochoria_vaginalis","iNatAg/monocymbium_ceresiiforme","iNatAg/monstera_deliciosa","iNatAg/montanoa_hibiscifolia","iNatAg/morinda_citrifolia","iNatAg/moringa_oleifera","iNatAg/morus_alba","iNatAg/morus_nigra","iNatAg/morus_rubra","iNatAg/mucuna_pruriens","iNatAg/muntingia_calabura","iNatAg/murraya_koenigii","iNatAg/musa_acuminata","iNatAg/musa_acuminata_×_balbisiana","iNatAg/musa_balbisiana","iNatAg/musa_sapientium","iNatAg/musanga_cecropioides","iNatAg/muscari_comosum","iNatAg/myosotis_alpestris","iNatAg/myosurus_minimus","iNatAg/myrica_cerifera","iNatAg/myriophyllum_heterophyllum","iNatAg/myriophyllum_implicatum","iNatAg/myriophyllum_sibiricum","iNatAg/myriophyllum_spicatum","iNatAg/myriophyllum_verticillatum","iNatAg/myristica_fragrans","iNatAg/myroxylon_balsamum","iNatAg/myrsine_africana","iNatAg/myrtus_communis","iNatAg/nardus_stricta","iNatAg/nasturtium_officinale","iNatAg/nauclea_orientalis","iNatAg/nelumbo_nucifera","iNatAg/neofabricia_myrtifolia","iNatAg/neoglaziovia_variegata","iNatAg/neonotonia_wightii","iNatAg/nepeta_cataria","iNatAg/nephelium_lappaceum","iNatAg/nephelium_mutabile","iNatAg/nerium_oleander","iNatAg/nicotiana_quadrivalvis","iNatAg/nicotiana_rustica","iNatAg/nicotiana_trigonophylla","iNatAg/nigella_sativa","iNatAg/nothofagus_cunninghamii","iNatAg/nothofagus_moorei","iNatAg/nothoscordum_borbonicum","iNatAg/nuphar_advena","iNatAg/nuphar_lutea","iNatAg/nymphaea_alba","iNatAg/nypa_fruticans","iNatAg/ochroma_pyramidale","iNatAg/ocimum_americanum","iNatAg/ocimum_basilicum","iNatAg/ocimum_tenuiflorum","iNatAg/octomeles_sumatrana","iNatAg/oenanthe_javanica","iNatAg/oenothera_albicaulis","iNatAg/oenothera_biennis","iNatAg/oenothera_parviflora","iNatAg/oenothera_perennis","iNatAg/oldenlandia_corymbosa","iNatAg/olea_africana","iNatAg/olea_capensis","iNatAg/olea_europaea","iNatAg/olea_europea","iNatAg/oncosperma_tigillarium","iNatAg/onobrychis_viciifolia","iNatAg/ononis_alopecuroides","iNatAg/ononis_spinosa","iNatAg/onopordum_acanthium","iNatAg/onopordum_illyricum","iNatAg/onosmodium_discolor","iNatAg/opuntia_ficus-indica","iNatAg/opuntia_leptocaulis","iNatAg/opuntia_polyacantha","iNatAg/opuntia_polycantha","iNatAg/origanum_majorana","iNatAg/origanum_onites","iNatAg/origanum_vulgare","iNatAg/ornithogalum_nutans","iNatAg/ornithogalum_umbellatum","iNatAg/ornithopus_compressus","iNatAg/ornithopus_sativus","iNatAg/orobanche_flava","iNatAg/orobanche_ludoviciana","iNatAg/orobanche_minor","iNatAg/orobanche_ramosa","iNatAg/orontium_aquaticum","iNatAg/orthosiphon_aristatus","iNatAg/oryza_sativa","iNatAg/oryzopsis_holciformis","iNatAg/oryzopsis_miliacea","iNatAg/osmorhiza_berteroi","iNatAg/osmunda_regalis","iNatAg/ottochloa_nodosa","iNatAg/oxalis_acetosella","iNatAg/oxalis_corniculata","iNatAg/oxalis_pes-caprae","iNatAg/oxalis_pescaprae","iNatAg/oxalis_stricta","iNatAg/oxalis_tuberosa","iNatAg/oxytropis_lambertii","iNatAg/pachyrhizus_erosus","iNatAg/paederia_cruddasiana","iNatAg/paederia_foetida","iNatAg/paeonia_officinalis","iNatAg/panax_ginseng","iNatAg/panax_quinquefolius","iNatAg/pangium_edule","iNatAg/panicum_antidotale","iNatAg/panicum_capillare","iNatAg/panicum_coloratum","iNatAg/panicum_ecklonii","iNatAg/panicum_gattingeri","iNatAg/panicum_maximum","iNatAg/panicum_miliaceum","iNatAg/panicum_natalense","iNatAg/panicum_obtusum","iNatAg/panicum_pilosum","iNatAg/panicum_racemosum","iNatAg/panicum_repens","iNatAg/panicum_sphaerocarpon","iNatAg/panicum_trichocladum","iNatAg/panicum_turgidum","iNatAg/panicum_virgatum","iNatAg/papaver_argemone","iNatAg/papaver_bracteatum","iNatAg/papaver_dubium","iNatAg/papaver_rhoeas","iNatAg/papaver_somniferum","iNatAg/parietaria_floridana","iNatAg/parietaria_officinalis","iNatAg/parinari_curatellifolia","iNatAg/parkia_biglobosa","iNatAg/parkia_speciosa","iNatAg/parkinsonia_aculeata","iNatAg/parnassia_palustris","iNatAg/parsonsia_latifolia","iNatAg/parthenium_argentatum","iNatAg/parthenium_hysterophorus","iNatAg/paspalum_conjugatum","iNatAg/paspalum_dilatatum","iNatAg/paspalum_distichum","iNatAg/paspalum_nicorae","iNatAg/paspalum_notatum","iNatAg/paspalum_plicatulum","iNatAg/paspalum_scrobiculatum","iNatAg/paspalum_separatum","iNatAg/paspalum_urvillei","iNatAg/paspalum_vaginatum","iNatAg/passiflora_bicornis","iNatAg/passiflora_edulis","iNatAg/passiflora_foetida","iNatAg/passiflora_incarnata","iNatAg/passiflora_laurifolia","iNatAg/passiflora_ligularis","iNatAg/passiflora_lutea","iNatAg/passiflora_mollissima","iNatAg/passiflora_quadrangularis","iNatAg/passiflora_suberosa","iNatAg/pastinaca_sativa","iNatAg/paullinia_cupana","iNatAg/paulownia_tomentosa","iNatAg/peganum_harmala","iNatAg/pelargonium_graveolens","iNatAg/peltandra_sagittifolia","iNatAg/peltandra_virginica","iNatAg/peltophorum_africanum","iNatAg/peltophorum_pterocarpum","iNatAg/pennisetum_clandestinum","iNatAg/pennisetum_glaucum","iNatAg/pennisetum_macrourum","iNatAg/pennisetum_pedicellatum","iNatAg/pennisetum_polystachyon","iNatAg/pennisetum_purpureum","iNatAg/pennisetum_setaceum","iNatAg/pennisetum_villosum","iNatAg/perilla_frutescens","iNatAg/persea_americana","iNatAg/persicaria_maculosa","iNatAg/persoonia_falcata","iNatAg/petalostigma_pubescens","iNatAg/petasites_albus","iNatAg/petasites_hybridus","iNatAg/petroselinum_crispum","iNatAg/petunia_parviflora","iNatAg/peucedanum_ostruthium","iNatAg/phalaris_aquatica","iNatAg/phalaris_arundinacea","iNatAg/phalaris_arundinaceae","iNatAg/phalaris_brachystachys","iNatAg/phalaris_canariensis","iNatAg/phalaris_caroliniana","iNatAg/phalaris_coerulescens","iNatAg/phalaris_paradoxa","iNatAg/phaseolus_acutifolius","iNatAg/phaseolus_coccineus","iNatAg/phaseolus_lunatus","iNatAg/phaseolus_vulgaris","iNatAg/phleum_alpinum","iNatAg/phleum_pratense","iNatAg/phoenix_dactylifera","iNatAg/phoenix_reclinata","iNatAg/phoenix_sylvestris","iNatAg/phormium_tenax","iNatAg/phragmites_australis","iNatAg/phragmites_communis","iNatAg/phragmites_karka","iNatAg/phyllanthus_niruri","iNatAg/phyllanthus_tenellus","iNatAg/phyllanthus_urinaria","iNatAg/phyllocladus_aspleniifolius","iNatAg/physalis_alkekengi","iNatAg/physalis_angulata","iNatAg/physalis_heterophylla","iNatAg/physalis_lancifolia","iNatAg/physalis_peruviana","iNatAg/physalis_philadelphica","iNatAg/physalis_pubescens","iNatAg/physalis_virginiana","iNatAg/physalis_viscosa","iNatAg/phytolacca_acinosa","iNatAg/phytolacca_americana","iNatAg/phytolacca_dioica","iNatAg/picea_abies","iNatAg/picea_omorica","iNatAg/picea_omorika","iNatAg/picris_echioides","iNatAg/picris_hieracioides","iNatAg/piliostigma_reticulatum","iNatAg/piliostigma_thonningii","iNatAg/pimenta_dioica","iNatAg/pimenta_racemosa","iNatAg/pimpinella_anisum","iNatAg/pimpinella_saxifraga","iNatAg/pinguicula_vulgaris","iNatAg/pinus_ayacahuite","iNatAg/pinus_brutia","iNatAg/pinus_canariensis","iNatAg/pinus_caribaea","iNatAg/pinus_chiapensis","iNatAg/pinus_douglasiana","iNatAg/pinus_durangensis","iNatAg/pinus_greggii","iNatAg/pinus_halepensis","iNatAg/pinus_hartwegii","iNatAg/pinus_kesiya","iNatAg/pinus_merkusii","iNatAg/pinus_montezumae","iNatAg/pinus_mugo","iNatAg/pinus_occidentalis","iNatAg/pinus_oocarpa","iNatAg/pinus_palustris","iNatAg/pinus_patula","iNatAg/pinus_pinaster","iNatAg/pinus_pinea","iNatAg/pinus_ponderosa","iNatAg/pinus_pseudostrobus","iNatAg/pinus_radiata","iNatAg/pinus_roxburghii","iNatAg/pinus_sylvestris","iNatAg/pinus_tabuliformis","iNatAg/pinus_taeda","iNatAg/pinus_teocote","iNatAg/piper_aduncum","iNatAg/piper_betle","iNatAg/piper_longum","iNatAg/piper_methysticum","iNatAg/piper_nigrum","iNatAg/pistacia_atlantica","iNatAg/pistacia_lentiscus","iNatAg/pistacia_vera","iNatAg/pistia_stratiotes","iNatAg/pisum_sativum","iNatAg/pithecellobium_dulce","iNatAg/pittosporum_resiniferum","iNatAg/pittosporum_undulatum","iNatAg/plagiobothrys_canescens","iNatAg/plantago_coronopus","iNatAg/plantago_heterophylla","iNatAg/plantago_indica","iNatAg/plantago_lanceolata","iNatAg/plantago_major","iNatAg/plantago_media","iNatAg/plantago_ovata","iNatAg/plantago_psyllium","iNatAg/plantago_virginica","iNatAg/platanus_orientalis","iNatAg/poa_alpina","iNatAg/poa_annua","iNatAg/poa_bulbosa","iNatAg/poa_compressa","iNatAg/poa_cuspidata","iNatAg/poa_fendleriana","iNatAg/poa_nemoralis","iNatAg/poa_pratensis","iNatAg/poa_trivialis","iNatAg/podocarpus_elatus","iNatAg/podocarpus_falcatus","iNatAg/poeciloneuron_indicum","iNatAg/pogostemon_cablin","iNatAg/polemonium_caeruleum","iNatAg/polemonium_micranthum","iNatAg/polyalthia_fragrans","iNatAg/polycarpon_tetraphyllum","iNatAg/polygonatum_orientale","iNatAg/polygonum_achoreum","iNatAg/polygonum_arenastrum","iNatAg/polygonum_aviculare","iNatAg/polygonum_bistorta","iNatAg/polygonum_convolvulus","iNatAg/polygonum_equisetiforme","iNatAg/polygonum_erectum","iNatAg/polygonum_hydropiper","iNatAg/polygonum_hydropiperoides","iNatAg/polygonum_lapathifolium","iNatAg/polygonum_orientale","iNatAg/polygonum_pensylvanicum","iNatAg/polygonum_perfoliatum","iNatAg/polygonum_persicaria","iNatAg/polygonum_punctatum","iNatAg/polygonum_ramosissimum","iNatAg/polygonum_scandens","iNatAg/polymnia_sonchifolia","iNatAg/polypodium_vulgare","iNatAg/polypogon_interruptus","iNatAg/polypremum_procumbens","iNatAg/polyscias_fulva","iNatAg/polytrichum_commune","iNatAg/pongamia_pinnata","iNatAg/pontederia_cordata","iNatAg/pontederia_rotundifolia","iNatAg/populus_balsamifera","iNatAg/populus_ciliata","iNatAg/populus_deltoides","iNatAg/populus_euphratica","iNatAg/populus_simonii","iNatAg/portulaca_oleracea","iNatAg/portulaca_pilosa","iNatAg/portulaca_pilosa_pilosa","iNatAg/portulaca_quadrifida","iNatAg/potamogeton_diversifolius","iNatAg/potamogeton_epihydrus","iNatAg/potamogeton_filiformis","iNatAg/potamogeton_foliosus","iNatAg/potamogeton_friesii","iNatAg/potamogeton_gramineus","iNatAg/potamogeton_illinoensis","iNatAg/potamogeton_natans","iNatAg/potamogeton_nodosus","iNatAg/potamogeton_pectinatus","iNatAg/potamogeton_praelongus","iNatAg/potamogeton_pusillus","iNatAg/potamogeton_zosteriformis","iNatAg/potentilla_anserina","iNatAg/potentilla_argentea","iNatAg/potentilla_erecta","iNatAg/potentilla_fruticosa","iNatAg/potentilla_intermedia","iNatAg/potentilla_norvegica","iNatAg/potentilla_norvegicae","iNatAg/potentilla_recta","iNatAg/potentilla_reptans","iNatAg/potentilla_tridentata","iNatAg/poterium_sanguisorba","iNatAg/pouteria_campechiana","iNatAg/pouteria_lucuma","iNatAg/pouteria_sapota","iNatAg/prasophyllum_elatum","iNatAg/primula_veris","iNatAg/proserpinaca_palustris","iNatAg/proserpinaca_pectinata","iNatAg/prosopis_affinis","iNatAg/prosopis_africana","iNatAg/prosopis_alba","iNatAg/prosopis_chilensis","iNatAg/prosopis_cineraria","iNatAg/prosopis_glandulosa","iNatAg/prosopis_juliflora","iNatAg/prosopis_nigra","iNatAg/prosopis_pallida","iNatAg/prosopis_tamarugo","iNatAg/prosopis_velutina","iNatAg/prunella_vulgaris","iNatAg/prunus_africana","iNatAg/prunus_amygdalus","iNatAg/prunus_armeniaca","iNatAg/prunus_avium","iNatAg/prunus_capuli","iNatAg/prunus_cerasus","iNatAg/prunus_domestica","iNatAg/prunus_laurocerasus","iNatAg/prunus_mahaleb","iNatAg/prunus_mume","iNatAg/prunus_padus","iNatAg/prunus_pensylvanica","iNatAg/prunus_persica","iNatAg/prunus_salicina","iNatAg/prunus_spinosa","iNatAg/prunus_virginiana","iNatAg/psathyrostachys_juncea","iNatAg/psidium_cattleianum","iNatAg/psidium_friedrichsthalianum","iNatAg/psidium_guajava","iNatAg/psophocarpus_tetragonolobus","iNatAg/psoralea_repens","iNatAg/ptelea_trifoliata","iNatAg/pterocarpus_angolensis","iNatAg/pterocarpus_dalbergioides","iNatAg/pterocarpus_erinaceus","iNatAg/pterocarpus_indicus","iNatAg/pterocarpus_lucens","iNatAg/pterocarpus_macrocarpus","iNatAg/pterocarpus_marsupium","iNatAg/pterocarpus_santalinoides","iNatAg/pterocarpus_santalinus","iNatAg/pueraria_lobata","iNatAg/pueraria_phaseoloides","iNatAg/pulmonaria_officinalis","iNatAg/punica_granatum","iNatAg/pycnanthus_angolensis","iNatAg/pyrola_rotundifolia","iNatAg/pyrus_communis","iNatAg/pyrus_pyrifolia","iNatAg/quercus_agrifolia","iNatAg/quercus_alba","iNatAg/quercus_bicolor","iNatAg/quercus_chrysolepis","iNatAg/quercus_dumosa","iNatAg/quercus_fusiformis","iNatAg/quercus_ilex","iNatAg/quercus_incana","iNatAg/quercus_lanata","iNatAg/quercus_nigra","iNatAg/quercus_phellos","iNatAg/quercus_robur","iNatAg/quercus_semecarpifolia","iNatAg/quercus_suber","iNatAg/quercus_virginiana","iNatAg/quisqualis_indica","iNatAg/ranunculus_abortivus","iNatAg/ranunculus_acris","iNatAg/ranunculus_arbortivus","iNatAg/ranunculus_arvensis","iNatAg/ranunculus_bulbosus","iNatAg/ranunculus_californicus","iNatAg/ranunculus_cymbalaria","iNatAg/ranunculus_ficaria","iNatAg/ranunculus_flabellaris","iNatAg/ranunculus_muricatulus","iNatAg/ranunculus_muricatus","iNatAg/ranunculus_occidentalis","iNatAg/ranunculus_orthorhynchus","iNatAg/ranunculus_parviflorus","iNatAg/ranunculus_sceleratus","iNatAg/ranunculus_testiculatus","iNatAg/ranunculus_trichophyllus","iNatAg/raphanus_raphanistrum","iNatAg/raphanus_sativus","iNatAg/rauvolfia_caffra","iNatAg/rauvolfia_serpentina","iNatAg/reseda_alba","iNatAg/reseda_lutea","iNatAg/retama_monosperma","iNatAg/rhamnus_cathartica","iNatAg/rhamnus_prinoides","iNatAg/rheum_palmatum","iNatAg/rheum_rhaponticum","iNatAg/rhigozum_trichotomum","iNatAg/rhinanthus_crista-galli","iNatAg/rhinanthus_minor","iNatAg/rhizophora_mangle","iNatAg/rhizophora_mucronata","iNatAg/rhizophora_stylosa","iNatAg/rhodiola_rosea","iNatAg/rhododendron_ferrugineum","iNatAg/rhus_copallinum","iNatAg/rhus_glabra","iNatAg/rhus_typhina","iNatAg/rhynchosia_minima","iNatAg/rhynchosia_senna","iNatAg/rhynchosia_sublobata","iNatAg/ribes_hirtellum","iNatAg/ribes_nigrum","iNatAg/ribes_rubrum","iNatAg/ribes_uva-crispa","iNatAg/ribes_viscosissimum","iNatAg/richardia_brasiliensis","iNatAg/richardia_scabra","iNatAg/ricinus_communis","iNatAg/ricinus_comunis","iNatAg/rivina_humilis","iNatAg/robinia_pseudoacacia","iNatAg/roemeria_refracta","iNatAg/rosa_canina","iNatAg/rosa_cinnamomea","iNatAg/rosa_eglanteria","iNatAg/rosa_pendulina","iNatAg/rosa_pimpinellifolia","iNatAg/rosa_rubiginosa","iNatAg/rosa_spinosissima","iNatAg/roseodendron_donnell-smithii","iNatAg/rosmarinus_officinalis","iNatAg/rubia_tinctorum","iNatAg/rubus_ellipticus","iNatAg/rubus_fructicosus","iNatAg/rubus_fruticosus","iNatAg/rubus_hispidus","iNatAg/rubus_idaeus","iNatAg/rubus_moluccanus","iNatAg/rubus_occidentalis","iNatAg/rubus_pensilvanicus","iNatAg/rudbeckia_amplexicaulis","iNatAg/rudbeckia_hirta","iNatAg/rudbeckia_laciniata","iNatAg/rudbeckia_triloba","iNatAg/rumex_acetosa","iNatAg/rumex_acetosella","iNatAg/rumex_aquaticus","iNatAg/rumex_crispus","iNatAg/rumex_dentatus","iNatAg/rumex_hymenosepalus","iNatAg/rumex_longifolius","iNatAg/rumex_maritimus","iNatAg/rumex_obtusifolius","iNatAg/rumex_patienta","iNatAg/rumex_patientia","iNatAg/rumex_pseudonatronatus","iNatAg/rumex_pulcher","iNatAg/rumex_verticillatus","iNatAg/ruppia_maritima","iNatAg/ruscus_aculeatus","iNatAg/ruta_graveolens","iNatAg/saccharum_officinarum","iNatAg/saccharum_sinense","iNatAg/saccharum_spontaneum","iNatAg/sacorstemma_cynanchoides","iNatAg/sagina_procumbens","iNatAg/sagittaria_kurziana","iNatAg/sagittaria_lancifolia","iNatAg/sagittaria_latifolia","iNatAg/sagittaria_sagittifolia","iNatAg/salacca_wallichiana","iNatAg/salacca_zalacca","iNatAg/salicornia_bigelovii","iNatAg/salix_alba","iNatAg/salix_caprea","iNatAg/salix_laevigata","iNatAg/salix_pentandra","iNatAg/salix_viminalis","iNatAg/salsola_kali","iNatAg/salsola_tragus","iNatAg/salsola_vermiculata","iNatAg/salvadora_persica","iNatAg/salvia_lyrata","iNatAg/salvia_officinalis","iNatAg/salvia_sclarea","iNatAg/salvia_verticillata","iNatAg/salvinia_auriculata","iNatAg/samanea_saman","iNatAg/sambucus_canadensis","iNatAg/sambucus_canadiensis","iNatAg/sambucus_cerulea","iNatAg/sambucus_ebulus","iNatAg/sambucus_nigra","iNatAg/sambucus_racemosa","iNatAg/samolus_parviflorus","iNatAg/samolus_valerandi","iNatAg/sanguisorba_minor","iNatAg/sanguisorba_officinalis","iNatAg/sanicula_europaea","iNatAg/santalum_acuminatum","iNatAg/santalum_album","iNatAg/santolina_chamaecyparissus","iNatAg/sapindus_emarginatus","iNatAg/sapindus_saponaria","iNatAg/sapium_sebiferum","iNatAg/saponaria_officinalis","iNatAg/sarcostemma_cynanchoides","iNatAg/satureja_hortensis","iNatAg/satureja_montana","iNatAg/sauropus_androgynus","iNatAg/saururus_cernuus","iNatAg/scandix_pecten-veneris","iNatAg/schima_wallichii","iNatAg/schinus_molle","iNatAg/schinus_terebinthifolia","iNatAg/schinus_terebinthifolius","iNatAg/schismus_arabicus","iNatAg/schizolobium_parahyba","iNatAg/schizomeria_ovata","iNatAg/schleichera_oleosa","iNatAg/scirpus_lacustris","iNatAg/scleranthus_annuus","iNatAg/sclerocarya_caffra","iNatAg/scoparia_dulcis","iNatAg/scorzonera_laciniata","iNatAg/scrophularia_lanceolata","iNatAg/searsia_angustifolia","iNatAg/secale_cereale","iNatAg/secale_montanum","iNatAg/sechium_edule","iNatAg/securidaca_longepedunculata","iNatAg/securidaca_longipedunculata","iNatAg/sedum_acre","iNatAg/sedum_telephium","iNatAg/sehima_nervosum","iNatAg/sempervivum_arachnoideum","iNatAg/sempervivum_tectorum","iNatAg/senecio_elegans","iNatAg/senecio_jacobaea","iNatAg/senecio_madagascariensis","iNatAg/senecio_plattensis","iNatAg/senecio_squalidus","iNatAg/senecio_sylvaticus","iNatAg/senecio_viscosus","iNatAg/senecio_vulgaris","iNatAg/senna_spectabilis","iNatAg/serenoa_repens","iNatAg/sesamum_indicum","iNatAg/sesbania_bispinosa","iNatAg/sesbania_cannabina","iNatAg/sesbania_exaltata","iNatAg/sesbania_formosa","iNatAg/sesbania_grandiflora","iNatAg/sesbania_pachycarpa","iNatAg/sesbania_sesban","iNatAg/setaria_incrassata","iNatAg/setaria_italica","iNatAg/setaria_lindenbergiana","iNatAg/setaria_pumila","iNatAg/seymeria_pectinata","iNatAg/shorea_robusta","iNatAg/shorea_talura","iNatAg/sicyos_angulatus","iNatAg/sida_angustifolia","iNatAg/sida_cordifolia","iNatAg/sida_spinosa","iNatAg/silene_antirrhina","iNatAg/silene_armeria","iNatAg/silene_conica","iNatAg/silene_conoidea","iNatAg/silene_gallica","iNatAg/silene_noctiflora","iNatAg/silene_pendula","iNatAg/silphium_asperrimum","iNatAg/silphium_integrifolium","iNatAg/silphium_laciniatum","iNatAg/silybum_marianum","iNatAg/simarouba_glauca","iNatAg/simmondsia_chinensis","iNatAg/simsia_auriculata","iNatAg/sinapis_alba","iNatAg/sinapis_arvensis","iNatAg/sinapis_incana","iNatAg/siphonochilus_aethiopicus","iNatAg/sisymbrium_altissimum","iNatAg/sisymbrium_erysimoides","iNatAg/sisymbrium_irio","iNatAg/sisymbrium_officinale","iNatAg/sisymbrium_orientale","iNatAg/sisymbrium_sophia","iNatAg/sisyrinchium_montanum","iNatAg/sloanea_woollsii","iNatAg/smilax_aspera","iNatAg/smilax_bona-nox","iNatAg/smilax_laurifolia","iNatAg/smilax_rotundifolia","iNatAg/solanum_aethiopicum","iNatAg/solanum_americanum","iNatAg/solanum_capsicoides","iNatAg/solanum_carolinense","iNatAg/solanum_coriaceum","iNatAg/solanum_dimidiatum","iNatAg/solanum_diphyllum","iNatAg/solanum_dulcamara","iNatAg/solanum_elaeagnifolium","iNatAg/solanum_eleagnifolium","iNatAg/solanum_ellipticum","iNatAg/solanum_ferox","iNatAg/solanum_heterodoxum","iNatAg/solanum_incanum","iNatAg/solanum_jamaicense","iNatAg/solanum_lanceolatum","iNatAg/solanum_macrocarpon","iNatAg/solanum_mammosum","iNatAg/solanum_marginatum","iNatAg/solanum_mauritianum","iNatAg/solanum_melongena","iNatAg/solanum_muricatum","iNatAg/solanum_nigrum","iNatAg/solanum_physalifolium","iNatAg/solanum_pseudo-capsicum","iNatAg/solanum_pseudocapsicum","iNatAg/solanum_quitoense","iNatAg/solanum_sisymbrifolium","iNatAg/solanum_sisymbriifolium","iNatAg/solanum_tampicense","iNatAg/solanum_torvum","iNatAg/solanum_tuberosum","iNatAg/solanum_violaceum","iNatAg/soldanella_alpina","iNatAg/solidago_californica","iNatAg/solidago_canadensis","iNatAg/solidago_fistulosa","iNatAg/solidago_missouriensis","iNatAg/solidago_nemoralis","iNatAg/solidago_rigida","iNatAg/solidago_sempervirens","iNatAg/solidago_virgaurea","iNatAg/sonchus_arvensis","iNatAg/sonchus_oleraceus","iNatAg/sonchus_palustris","iNatAg/sonneratia_apetala","iNatAg/sonneratia_caseolaris","iNatAg/sorbus_aucuparia","iNatAg/sorbus_domestica","iNatAg/sorghum_bicolor","iNatAg/sorghum_drummondii","iNatAg/sorghum_halepense","iNatAg/soymida_febrifuga","iNatAg/sparganium_americanum","iNatAg/sparganium_erectum","iNatAg/spartina_pectinata","iNatAg/spartium_junceum","iNatAg/spathodea_campanulata","iNatAg/spergula_arvensis","iNatAg/spermacoce_verticillata","iNatAg/spinacia_oleracea","iNatAg/spinifex_hirsutus","iNatAg/spirea_tomentosa","iNatAg/spodiopogon_sibiricus","iNatAg/spondias_cythera","iNatAg/spondias_mombin","iNatAg/spondias_purpurea","iNatAg/sporobolus_airoides","iNatAg/sporobolus_fimbriatus","iNatAg/sporobolus_maritimus","iNatAg/sporobolus_neglectus","iNatAg/sporobolus_spicatus","iNatAg/sporobolus_virginicus","iNatAg/stachys_affinis","iNatAg/stachys_palustris","iNatAg/stachytarpheta_incana","iNatAg/stachytarpheta_indica","iNatAg/stellaria_graminea","iNatAg/stellaria_holostea","iNatAg/stellaria_media","iNatAg/stenotaphrum_secundatum","iNatAg/sterculia_foetida","iNatAg/sterculia_urens","iNatAg/sterculia_villosa","iNatAg/stereospermum_kunthianum","iNatAg/stevia_rebaudiana","iNatAg/stipa_baicalensis","iNatAg/stipa_brachychaeta","iNatAg/stipa_capillata","iNatAg/stipa_glareosa","iNatAg/stipa_grandis","iNatAg/stipa_krylovii","iNatAg/stipa_lagascae","iNatAg/stipa_occidentalis","iNatAg/stipa_parviflora","iNatAg/stipa_tenacissima","iNatAg/stipa_trichotoma","iNatAg/stipagrostis_amabilis","iNatAg/stipagrostis_zeyheri","iNatAg/stratiotes_aloides","iNatAg/strychnos_cocculoides","iNatAg/strychnos_innocua","iNatAg/strychnos_spinosa","iNatAg/stylidium_desertorum","iNatAg/stylosanthes_capitata","iNatAg/stylosanthes_fruticosa","iNatAg/stylosanthes_hamata","iNatAg/stylosanthes_humilis","iNatAg/stylosanthes_scabra","iNatAg/stylosanthes_viscosa","iNatAg/succisa_pratensis","iNatAg/swertia_baicalensis","iNatAg/swietenia_macrophylla","iNatAg/swietenia_mahogani","iNatAg/symphoricarpos_mollis","iNatAg/symphoricarpos_occidentalis","iNatAg/symphoricarpos_orbiculatus","iNatAg/symphoricarpos_rotundifolius","iNatAg/symphytum_officinale","iNatAg/syncarpia_glomulifera","iNatAg/syncarpia_hillii","iNatAg/syzygium_cordatum","iNatAg/syzygium_cumini","iNatAg/syzygium_guineense","iNatAg/syzygium_malaccense","iNatAg/syzygium_taiwanicum","iNatAg/tabebuia_rosea","iNatAg/tabebuia_serratifolia","iNatAg/tagetes_minuta","iNatAg/talinum_triangulare","iNatAg/tamarindus_indica","iNatAg/tamarix_aphylla","iNatAg/tamarix_chinensis","iNatAg/tamarix_gallica","iNatAg/tamarix_parviflora","iNatAg/tanacetum_balsamita","iNatAg/tanacetum_vulgare","iNatAg/taraxacum_officinale","iNatAg/taraxia_breviflora","iNatAg/tarchonanthus_camphoratus","iNatAg/taxodium_distichum","iNatAg/taxus_baccata","iNatAg/tecoma_stans","iNatAg/tectona_grandis","iNatAg/tephrosia_candida","iNatAg/tephrosia_lupinifolia","iNatAg/tephrosia_obovata","iNatAg/tephrosia_purpurea","iNatAg/tephrosia_vogelii","iNatAg/teramnus_labialis","iNatAg/terminalia_arjuna","iNatAg/terminalia_bellirica","iNatAg/terminalia_brownii","iNatAg/terminalia_calamansanai","iNatAg/terminalia_catappa","iNatAg/terminalia_chebula","iNatAg/terminalia_ivorensis","iNatAg/terminalia_mantaly","iNatAg/terminalia_myriocarpa","iNatAg/terminalia_paniculata","iNatAg/terminalia_prunioides","iNatAg/terminalia_sericocarpa","iNatAg/terminalia_tomentosa","iNatAg/tetradymia_canescens","iNatAg/tetragonia_tetragonioides","iNatAg/teucrium_botrys","iNatAg/teucrium_canadense","iNatAg/teucrium_chamaedrys","iNatAg/teucrium_polium","iNatAg/thalia_geniculata","iNatAg/thalictrum_pubescens","iNatAg/thaumatococcus_daniellii","iNatAg/themeda_australis","iNatAg/themeda_quadrivalvis","iNatAg/themeda_triandra","iNatAg/theobroma_bicolor","iNatAg/theobroma_cacao","iNatAg/theobroma_grandiflorum","iNatAg/thermopsis_montana","iNatAg/thermopsis_rhombifolia","iNatAg/thespesia_populnea","iNatAg/thlaspi_arvense","iNatAg/thlaspi_perfoliatum","iNatAg/thuja_occidentalis","iNatAg/thymus_serphyllum","iNatAg/thymus_serpyllum","iNatAg/thymus_vulgaris","iNatAg/thyrsostachys_siamensis","iNatAg/thysanolaena_latifolia","iNatAg/tilia_cordata","iNatAg/tilia_platyphyllos","iNatAg/tipuana_tipu","iNatAg/tithonia_diversifolia","iNatAg/toona_ciliata","iNatAg/torenia_glabra","iNatAg/toxicodendron_pubescens","iNatAg/trachypogon_spicatus","iNatAg/tradescantia_bracteata","iNatAg/tradescantia_fluminensis","iNatAg/tradescantia_ohiensis","iNatAg/tradescantia_virginiana","iNatAg/tragia_betonicifolia","iNatAg/tragopogon_lamottei","iNatAg/tragopogon_porrifolius","iNatAg/tragopogon_pratensis","iNatAg/tragus_koelerioides","iNatAg/trapa_natans","iNatAg/trema_orientale","iNatAg/trianthema_portulacastrum","iNatAg/tribulus_cistoides","iNatAg/tribulus_terrestris","iNatAg/trichanthera_gigantea","iNatAg/trichoneura_grandiglumis","iNatAg/trichosanthes_cucumerina","iNatAg/trichostema_lanceolatum","iNatAg/tridax_procumbens","iNatAg/trifolium_africanum","iNatAg/trifolium_alexandrinum","iNatAg/trifolium_ambiguum","iNatAg/trifolium_angustifolium","iNatAg/trifolium_arvense","iNatAg/trifolium_burchellianum","iNatAg/trifolium_campestre","iNatAg/trifolium_carolinianum","iNatAg/trifolium_cherleri","iNatAg/trifolium_dubium","iNatAg/trifolium_fragiferum","iNatAg/trifolium_glanduliferum","iNatAg/trifolium_glomeratum","iNatAg/trifolium_hirtum","iNatAg/trifolium_hybridum","iNatAg/trifolium_incarnatum","iNatAg/trifolium_medium","iNatAg/trifolium_michelianum","iNatAg/trifolium_nigrescens","iNatAg/trifolium_patens","iNatAg/trifolium_pilulare","iNatAg/trifolium_polymorphum","iNatAg/trifolium_pratense","iNatAg/trifolium_reflexum","iNatAg/trifolium_repens","iNatAg/trifolium_resupinatum","iNatAg/trifolium_subterraneum","iNatAg/trifolium_tomentosum","iNatAg/trifolium_variegatum","iNatAg/trifolium_vesiculosum","iNatAg/trifolium_wormskioldii","iNatAg/triglochin_maritima","iNatAg/triglochin_maritimum","iNatAg/triglochin_palustre","iNatAg/trigonella_foenum-graecum","iNatAg/tripsacum_dactyloides","iNatAg/trisetum_flavescens","iNatAg/tristachya_leucothrix","iNatAg/triticum_aestivum","iNatAg/triticum_dicoccoides","iNatAg/triticum_durum","iNatAg/triticum_spelta","iNatAg/triumfetta_rhomboidea","iNatAg/triumfetta_semitriloba","iNatAg/trollius_europaeus","iNatAg/tropaeolum_majus","iNatAg/tropaeolum_tuberosum","iNatAg/tropidocarpum_gracile","iNatAg/turritis_glabra","iNatAg/tussilago_farfara","iNatAg/tylosema_esculentum","iNatAg/typha_angustifolia","iNatAg/typha_domingensis","iNatAg/typha_latifolia","iNatAg/uapaca_kirkiana","iNatAg/ulex_europaeus","iNatAg/ullucus_tuberosus","iNatAg/ulmus_procera","iNatAg/umbilicus_rupestris","iNatAg/uncaria_gambir","iNatAg/urelytrum_agropyroides","iNatAg/urena_lobata","iNatAg/urochloa_mosambicensis","iNatAg/urochloa_panicoides","iNatAg/urtica_chamaedryoide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_growth_tracking","maize_seedling_counting_RGB_classification","maize_seedling_msdd_detection","maize_stereo_matching_pairs","maize_tomato_weed_classification","maize_weed_detection","malabar_spinach_disease_classification","malabar_spinach_leaf_disease_classification","mandarin_leaf_variety_classification","mangifera2012_variety_classification","mango_detection_australia","mango_disease_detection_rgb","mango_fruit_stem_detection","mango_growth_detection","mango_leaf_disease_classification","mango_pest_original_classification","MangoClassify-12_variety_classification","MangoImageBD_classification","MangoLeafBD_disease_classification","mangrove_loss_africa_monthly_classification","mangrove_sundarbans_change_classification","medicinal_leaf_species_classification","medicinal_plant_classification_bd","medicinal_plant_parts_classification","Medjool_date_ripeness_detection","MedLeafX_disease_classification","merlot_mildew_segmentation","MH_SoyaHealthVision_disease_classification_leaf","MH_SoyaHealthVision_disease_classification_uav","MH_Weed16_weed_detection","MH_Weed16_weed_variety_classification","mint_leaf_classification","molca_land_cover_africa_amazon_classification","money_plant_disease_classification","mongolia_vegetation_greening","MoringaLeafNet_disease_classification","mowing_events_austria_2023_classification","MPFCZ_zhouhu_china_classification","mtl_plotcounter_soybean_detection","mulberry_leaf_variety_classification","multi_annual_crop_classification_peru","multi_sensor_crop_classification","Musa_banana_tier_classification","muufl_gulfport_hyperspectral_lidar","NDVI_AUC_soil_salt_content_classification","NEALGEBA_fire_history_classification","niwo_tree_crown_detection","noah_sensor_fusion_classification","Noordwest_Natuurkern_orthomosaics","obsydya_benin_land_cover_reference","OccPepSeg_YOLO_occluded_segmentation","oil_palm_fruit_ripeness_classification","oil_palm_malaysia_mapping","okra_maturity_classification","okra_thermal_maturity_classification","OkraDiseaseNet_disease_classification","olive_hyperspectral","olive_stress_hyperspectral_gr_classification","olive_tree_crown_detection","onion_weed_segmentation","onionfoliageset_detection","OpenEar_base_segmentation","OpenEar_developmental_status_classification","OpenEar_Projection_segmentation","OPPD_plant_detection","orange_leaf_disease_classification","orange_leaf_HLB_classification","orthomosaic_weed_segmentation","Orzan_LiDARStructure_classification","oyster_mushroom_maturity_detection","paddy_disease_classification","paddy_weed_target_detection","PaddyNet_LCC_classification","PaddyVarietyBD_variety_classification","papaya_leaf_disease_classification","papaya_leaf_disease_classification_bangladesh","papaya_leaf_disease_classification_bd","papaya_leaf_disease_detection","pdsnet_field_plant_disease_segmentation","pea_seed_viability_classification","peachpear_flower_segmentation","pepper_disease_pest_classification","PFSD_Musa_banana_disease_classification","PFSD_Musa_banana_variety_classification","pheno4d_point_cloud_segmentation","PhenoBench_segmentation","pine_needle_shoots_3D","pine_wilt_segmentation","pine_wood_nematode_multispectral_detection","Pinus_halepensis_fire_classification","pistachio_photogrammetry","pixelcroprobot_vegetable_detection","PL_Forest_CONUS_map_classification","plant_doc_classification","plant_doc_detection","plant_functional_diversity","plant_image_generation","plant_leaf_disease_classification","Plant_leaf_diseases_dataset_classification","plant_phenology_physiological","plant_seedlings_aarhus","plant_village_classification","PlantTom_tomato_disease_detection","plum_leaf_disease_classification","plum_leaf_fruit_disease_classification","Poitiers_land_cover_1993","poland_forest_mapping","polsar_landcover_sfbay_flevo_classification","pomegranate_disease_classification","pomegranate_disease_classification_india","pomegranate_growth_detection","pomegranate_quality_classification","pomegranate_thermal_defect_classification","potato_disease_classification","potato_leaf_blight_classification","potato_leaf_disease_classification","potato_leaf_hyperspectral","precision_agriculture_land_mapping","PriBel_betel_leaf_disease_classification","primocane_raspberry_cane","pvy_potato_uav_hyperspectral","Quebec_australis_GNSS_detection","quebec_trees_crown_classification","QuinceSet_detection","radish_leaf_disease_classification","rangeland_weeds_australia","raspberry_maturity_detection","red_grapes_and_leaves_segmentation","REMP_plant_classification","rice_brown_spot_classification","rice_cropping_classification","rice_disease_classification_bangladesh","rice_field_weed_classification","rice_grain_variety_classification","rice_leaf_bacterial_fungal","rice_leaf_disease_classification","rice_leaf_disease_classification_2","rice_leaf_disease_classification_bd","rice_leaf_disease_classification_india","rice_panicle_detection","rice_panicle_DRPD_classification","rice_seedling_classification","rice_seedling_segmentation","rice_tiller_3d_reconst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ication","VegNet_quality_classification","VEPL_power_line_segmentation","Verada_wetland_segmentation","Vietnam_land_use_map_2024_classification","vine_virus_photo_dataset","vineyard_grape_segmentation","vineyard_multispectral_botrytis_detection","vineyard_multispectral_disease_detection","vineyard_pruning_segmentation","wald5dplus_forest_sentinel_cubes","WaterHyacinth_variety_classification","watermelon_disease_classification","WE3DS_weed_segmentation","weed_crop_detection","weed_segmentation_france","WeedsGalore_maize_segmentation","weedy_rice_segmentation","wetland_grass_species_mapping_classification","wetveg2mm_riparian_vegetation_classification","wGrapeUNIPD-DL_white_grape_bunch_detection","Wheat_Coccinellid_detection","wheat_disease_detection","wheat_growth_stage_classification","wheat_head_counting","wheat_mosaic_classification_multispectral","wheat_root_CT_nitrate_response","wheat_seed_variety_classification","white_grapes_and_leaves_segmentation","winter_wheat_aphid_canopy","winter_wheat_crop_parameters","WisWheat","worldcereals_crop_mapping_classification","worldcereals_crop_mapping_classification_2","WPDv2_BBCH_classification","ws_dino_weed_segmentation","WSP_spray_quality_classification","xilingol_grassland_mowing_classification","Yangtze_rice_planting_distribution","YOLOv8_PlantDisease_classification","yunnan_coffee_distribution_segmentation","zenodo_11206113_boreal_trails_classification","zijinshan_vegetation_segmentation","ZLRBTerraceMap_1m_classification"]}
\ No newline at end of file
diff --git a/static/data/embeddings/vectors.bin b/static/data/embeddings/vectors.bin
index 925fc28..587c2f9 100644
Binary files a/static/data/embeddings/vectors.bin and b/static/data/embeddings/vectors.bin differ
diff --git a/static/data/hf_datasets.json b/static/data/hf_datasets.json
index 2d4b0ac..2ed796e 100644
--- a/static/data/hf_datasets.json
+++ b/static/data/hf_datasets.json
@@ -498,7 +498,7 @@
     "imaging_equipment": [
       "Canon EOS 1500D DSLR camera, 18-55mm lens, tripod-mounted"
     ],
-    "platform": "ground_fixed",
+    "platform": "fixed",
     "bibtex": "@article{bharathi2025rgb,\n  title={RGB image dataset for okra maturity classification to enhance agricultural quality and market readiness},\n  author={Bharathi, Nikhilesh Kumar and Fj, Ferbin and others},\n  journal={Data in Brief},\n  pages={111982},\n  year={2025},\n  publisher={Elsevier}\n}"
   },
   {
@@ -1617,7 +1617,7 @@
       "unaffected",
       "unripe"
     ],
-    "license": "cc-by-SA-4.0",
+    "license": "cc-by-sa-4.0",
     "documentation": "https://doi.org/10.1016/j.dib.2025.111351",
     "citation": "Arnaud Nguembang Fadja, and Armel Gabin Fameni Tagni. (2024). African Plums Dataset [Dataset]. Kaggle. https://doi.org/10.34740/KAGGLE/DSV/9694239",
     "zip_size_bytes": 307720141,
@@ -1966,7 +1966,7 @@
       "Realme 6i"
     ],
     "collection_period": "April-June",
-    "platform": "mobile",
+    "platform": "handheld",
     "bibtex": "@article{paygude2024dataset,\n  title={A dataset revolutionizing Indian bay leaf analysis},\n  author={Paygude, Priyanka and Thite, Sandip and Kumar, Ajay and Bhosle, Amol and Pawar, Rajendra and Mane, Renuka and Joshi, Rahul and Kasar, Manisha and Chavan, Prashant and Gayakwad, Milind},\n  journal={Data in Brief},\n  volume={57},\n  pages={111024},\n  year={2024},\n  publisher={Elsevier}\n}"
   },
   {
@@ -2981,7 +2981,7 @@
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/cotton_weed_detection",
     "examples_image_url": "/img/agml/sample_images/cotton_weed_detection_sample.webp",
-    "country": "United States of America",
+    "country": "United States",
     "imaging_equipment": [
       "Autel Robotics EVO II Dual 640T V3, 50 MP 0.8″ RYYB CMOS sensor (XL709 camera module)"
     ],
@@ -3411,7 +3411,7 @@
       "Fresh",
       "Rotten"
     ],
-    "license": "cc-by-Nnc-nd-4.0",
+    "license": "cc-by-nc-nd-4.0",
     "documentation": "https://doi.org/10.1016/j.dib.2025.111752",
     "citation": "Bijoy, Md Hasan Imam; Tasnim, Syeda Zarin; Awsaf, Syed Ali; Hasan, Md Zahid (2025), “FruitVision: A Benchmark Dataset for Fresh, Rotten, and Formalin-mixed Fruit Detection”, Mendeley Data, V2, doi: 10.17632/xkbjx8959c.2",
     "zip_size_bytes": 923949864,
@@ -3425,7 +3425,7 @@
       "Redmi Note 9 Pro"
     ],
     "collection_period": "April 18, 2024, and July 31, 2024",
-    "platform": "mobile",
+    "platform": "handheld",
     "bibtex": "@article{bijoy2025fruitvision,\n  title={FruitVision: A benchmark dataset for fresh, rotten, and formalin-mixed fruit detection},\n  author={Bijoy, Md Hasan Imam and Tasnim, Syeda Zarin and Awsaf, Syed Ali and Hasan, Md Zahid},\n  journal={Data in Brief},\n  volume={61},\n  pages={111752},\n  year={2025},\n  publisher={Elsevier}\n}"
   },
   {
@@ -3778,7 +3778,7 @@
     "machine_learning_task": "image_classification",
     "agricultural_task": "disease_classification",
     "location": "Ethiopia",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "platform": "uav",
     "environment": "field",
@@ -3799,7 +3799,7 @@
     ],
     "examples_image_url": "/img/agml/sample_images/banana_leaf_disease_classification_examples.webp",
     "source": "huggingface",
-    "license": "CC BY 4.0",
+    "license": "cc-by-4.0",
     "citation": "hailu, yordanos (2021), “Banana Leaf Disease Images”, Mendeley Data, V1, doi: 10.17632/rjykr62kdh.1",
     "crop_types": [
       "banana"
@@ -3812,7 +3812,7 @@
     "machine_learning_task": "image_classification",
     "agricultural_task": "disease_classification",
     "location": "Uganda",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "platform": "handheld",
     "environment": "field",
@@ -3833,7 +3833,7 @@
     ],
     "examples_image_url": "/img/agml/sample_images/bean_disease_uganda_examples.webp",
     "source": "huggingface",
-    "license": "MIT",
+    "license": "mit",
     "citation": "",
     "crop_types": [
       "bean"
@@ -3865,7 +3865,7 @@
     "stats_std": null,
     "examples_image_url": "/img/agml/sample_images/blackgram_plant_leaf_disease_classification_examples.webp",
     "source": "huggingface",
-    "license": "CC BY 4.0",
+    "license": "cc-by-4.0",
     "citation": "Talasila, Srinivas; Rawal, Kirti; Sethi, Gaurav; MSS, Sanjay; M, Surya Prakash Reddy (2022), “Blackgram Plant Leaf Disease Dataset”, Mendeley Data, V3, doi: 10.17632/zfcv9fmrgv.3",
     "crop_types": [
       "black gram",
@@ -4065,7 +4065,7 @@
     "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
-    "platform": "mobile",
+    "platform": "handheld",
     "input_data_format": "JPG",
     "annotation_format": "directory_names",
     "num_images": 5798,
@@ -4084,7 +4084,7 @@
     "examples_image_url": "/img/agml/sample_images/coconut_tree_disease_classification_sample.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/coconut_tree_disease_classification",
-    "license": "CC BY 4.0",
+    "license": "cc-by-4.0",
     "citation": "PATIL, Kailas; Thite, Sandip; Suryawanshi, Yogesh; chumchu, prawit (2023), “Coconut Tree Disease Dataset”, Mendeley Data, V1, doi: 10.17632/gh56wbsnj5.1",
     "crop_types": [
       "coconut"
@@ -4101,7 +4101,7 @@
     "machine_learning_task": "image_classification",
     "agricultural_task": "disease_classification",
     "location": null,
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "handheld",
@@ -4158,7 +4158,7 @@
     "examples_image_url": "/img/agml/sample_images/cucumber_disease_classification_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/cucumber_disease_classification",
-    "license": "CC BY 4.0",
+    "license": "cc-by-4.0",
     "citation": "Sultana, Nusrat; Shorif, Sumaita Binte ; Akter, Morium ; Uddin, Mohammad Shorif  (2022), “Cucumber Disease Recognition Dataset”, Mendeley Data, V1, doi: 10.17632/y6d3z6f8z9.1",
     "crop_types": [
       "cucumber"
@@ -4175,7 +4175,7 @@
     "machine_learning_task": "image_classification",
     "agricultural_task": "disease_classification",
     "location": "Bangladesh",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "lab",
     "platform": "uav",
@@ -4197,7 +4197,7 @@
     "examples_image_url": "/img/agml/sample_images/java_plum_leaf_disease_classification_sample.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/java_plum_leaf_disease_classification",
-    "license": "CC BY 4.0",
+    "license": "cc-by-4.0",
     "citation": "Bhowmik, Auvick Chandra; Ahad, Taimur (2024), “Java Plum Leaf Disease Dataset”, Mendeley Data, V3, doi: 10.17632/43d75vptz4.3",
     "crop_types": [
       "java plum"
@@ -4243,7 +4243,7 @@
     "examples_image_url": "/img/agml/sample_images/mango_leaf_disease_classification_sample.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/mango_leaf_disease_classification",
-    "license": "CC BY-NC 4.0",
+    "license": "cc-by-nc-4.0",
     "citation": "Ali, Sawkat; Ibrahim, Muhammad ; Ahmed, Sarder Iftekhar ; Nadim, Md. ; Mizanur, Mizanur Rahman; Shejunti, Maria Mehjabin ; Jabid, Taskeed (2022), “MangoLeafBD Dataset”, Mendeley Data, V1, doi: 10.17632/hxsnvwty3r.1",
     "crop_types": [
       "mango"
@@ -4287,7 +4287,7 @@
     "examples_image_url": "/img/agml/sample_images/orange_leaf_disease_classification_sample.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/orange_leaf_disease_classification",
-    "license": "CC BY 4.0",
+    "license": "cc-by-4.0",
     "citation": "Emon, Yousuf Rayhan; Ahad, Md Taimur (2023), “Multi-format open-source sweet orange leaf dataset for disease detection, classification, and analysis.”, Mendeley Data, V1, doi: 10.17632/f7cr74mwpj.1",
     "crop_types": [
       "orange"
@@ -4305,7 +4305,7 @@
     "machine_learning_task": "image_classification",
     "agricultural_task": "disease_classification",
     "location": "India",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "uav",
@@ -4327,7 +4327,7 @@
     "examples_image_url": "/img/agml/sample_images/paddy_disease_classification_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/paddy_disease_classification",
-    "license": "CC BY 4.0",
+    "license": "cc-by-4.0",
     "citation": "Petchiammal A, Briskline Kiruba S, Murugan D, Pandarasamy Arjunan. (2022). Paddy Doctor: A Visual Image Dataset for Automated Paddy Disease Classification and Benchmarking. IEEE Dataport. https://dx.doi.org/10.21227/hz4v-af08",
     "crop_types": [
       "rice"
@@ -4339,7 +4339,7 @@
     "machine_learning_task": "object_detection",
     "agricultural_task": "crop_detection",
     "location": "United States of America",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "ground",
@@ -4361,7 +4361,7 @@
     "examples_image_url": "/img/agml/sample_images/almond_bloom_2023_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/almond_bloom_2023",
-    "license": "Apache 2.0",
+    "license": "apache-2.0",
     "citation": "",
     "crop_types": [
       "almond"
@@ -4372,7 +4372,7 @@
     "machine_learning_task": "object_detection",
     "agricultural_task": "crop_detection",
     "location": "United States of America",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "ground",
@@ -4394,7 +4394,7 @@
     "examples_image_url": "/img/agml/sample_images/almond_harvest_2021_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/almond_harvest_2021",
-    "license": "Apache 2.0",
+    "license": "apache-2.0",
     "citation": "",
     "crop_types": [
       "almond"
@@ -4405,7 +4405,7 @@
     "machine_learning_task": "object_detection",
     "agricultural_task": "crop_detection",
     "location": "Brazil",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "ground",
@@ -4427,7 +4427,7 @@
     "examples_image_url": "/img/agml/sample_images/apple_detection_drone_brazil_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/apple_detection_drone_brazil",
-    "license": "CC BY-SA 4.0",
+    "license": "cc-by-sa-4.0",
     "citation": "@article{DBLP:journals/corr/abs-2110-12331,\n  author    = {Thiago T. Santos and\n               Luciano Gebler},\n  title     = {A methodology for detection and localization of fruits in apples orchards\n               from aerial images},\n  journal   = {CoRR},\n  volume    = {abs/2110.12331},\n  year      = {2021},\n  url       = {https://arxiv.org/abs/2110.12331},\n  eprinttype = {arXiv},\n  eprint    = {2110.12331},\n  timestamp = {Thu, 28 Oct 2021 15:25:31 +0200},\n  biburl    = {https://dblp.org/rec/journals/corr/abs-2110-12331.bib},\n  bibsource = {dblp computer science bibliography, https://dblp.org}\n}",
     "crop_types": [
       "apple"
@@ -4439,7 +4439,7 @@
     "machine_learning_task": "object_detection",
     "agricultural_task": "crop_detection",
     "location": "Spain",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "ground",
@@ -4473,7 +4473,7 @@
     "machine_learning_task": "object_detection",
     "agricultural_task": "crop_detection",
     "location": "United States of America",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "ground",
@@ -4507,9 +4507,9 @@
     "machine_learning_task": "object_detection",
     "agricultural_task": "crop_detection",
     "location": null,
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
-    "platform": "handheld/ground",
+    "platform": "handheld, ground",
     "input_data_format": "JPG",
     "annotation_format": "coco_json",
     "num_images": 239,
@@ -4527,7 +4527,7 @@
     "examples_image_url": "/img/agml/sample_images/embrapa_wgisd_grape_detection_sample.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/embrapa_wgisd_grape_detection",
-    "license": "CC BY-NC 4.0",
+    "license": "cc-by-nc-4.0",
     "citation": "",
     "crop_types": [
       "grape"
@@ -4538,7 +4538,7 @@
     "machine_learning_task": "object_detection",
     "agricultural_task": "crop_detection",
     "location": null,
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "platform": "mixed",
     "input_data_format": "JPG",
@@ -4577,7 +4577,7 @@
     "machine_learning_task": "object_detection",
     "agricultural_task": "crop_detection",
     "location": "United States of America",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "ground",
@@ -4599,7 +4599,7 @@
     "examples_image_url": "/img/agml/sample_images/gemini_flower_detection_2022_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/gemini_flower_detection",
-    "license": "Apache 2.0",
+    "license": "apache-2.0",
     "citation": "",
     "crop_types": [
       "cowpea"
@@ -4610,7 +4610,7 @@
     "machine_learning_task": "object_detection",
     "agricultural_task": "crop_detection",
     "location": "United States of America",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "ground",
@@ -4632,7 +4632,7 @@
     "examples_image_url": "/img/agml/sample_images/gemini_leaf_detection_2022_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/gemini_leaf_detection",
-    "license": "Apache 2.0",
+    "license": "apache-2.0",
     "citation": "",
     "crop_types": [
       "cowpea"
@@ -4643,7 +4643,7 @@
     "machine_learning_task": "object_detection",
     "agricultural_task": "crop_detection",
     "location": "United States of America",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "ground",
@@ -4665,7 +4665,7 @@
     "examples_image_url": "/img/agml/sample_images/gemini_plant_detection_2022_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/gemini_plant_detection",
-    "license": "Apache 2.0",
+    "license": "apache-2.0",
     "citation": "",
     "crop_types": [
       "cowpea"
@@ -4676,7 +4676,7 @@
     "machine_learning_task": "object_detection",
     "agricultural_task": "crop_detection",
     "location": "United States of America",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "ground",
@@ -4698,7 +4698,7 @@
     "examples_image_url": "/img/agml/sample_images/gemini_pod_detection_2022_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/gemini_pod_detection",
-    "license": "Apache 2.0",
+    "license": "apache-2.0",
     "citation": "",
     "crop_types": [
       "cowpea"
@@ -4844,7 +4844,7 @@
     "machine_learning_task": "object_detection",
     "agricultural_task": "crop_detection",
     "location": "United States of America",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "ground",
@@ -4878,7 +4878,7 @@
     "machine_learning_task": "object_detection",
     "agricultural_task": "crop_detection",
     "location": "United States of America",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "ground",
@@ -4912,7 +4912,7 @@
     "machine_learning_task": "object_detection",
     "agricultural_task": "crop_detection",
     "location": "United States of America",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "synthetic",
     "environment": "field",
     "platform": "ground",
@@ -4946,7 +4946,7 @@
     "machine_learning_task": "object_detection",
     "agricultural_task": "crop_detection",
     "location": "Australia",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "handheld",
@@ -4980,7 +4980,7 @@
     "machine_learning_task": "object_detection",
     "agricultural_task": "disease_classification",
     "location": null,
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "ground",
@@ -5002,7 +5002,7 @@
     "examples_image_url": "/img/agml/sample_images/plant_doc_detection_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/plant_doc_detection",
-    "license": "CC BY-SA 4.0",
+    "license": "cc-by-sa-4.0",
     "citation": "@inproceedings{10.1145/3371158.3371196,\n  author = {Singh, Davinder and Jain, Naman and Jain, Pranjali and Kayal, Pratik and Kumawat, Sudhakar and Batra, Nipun},\n  title = {PlantDoc: A Dataset for Visual Plant Disease Detection},\n  year = {2020},\n  isbn = {9781450377386},\n  publisher = {Association for Computing Machinery},\n  address = {New York, NY, USA},\n  url = {https://doi.org/10.1145/3371158.3371196},\n  doi = {10.1145/3371158.3371196},\n  booktitle = {Proceedings of the 7th ACM IKDD CoDS and 25th COMAD},\n  pages = {249–253},\n  numpages = {5},\n  keywords = {Deep Learning, Object Detection, Image Classification},\n  location = {Hyderabad, India},\n  series = {CoDS COMAD 2020}\n  }",
     "crop_types": null,
     "bibtex": "@inproceedings{10.1145/3371158.3371196,\nauthor = {Singh, Davinder and Jain, Naman and Jain, Pranjali and Kayal, Pratik and Kumawat, Sudhakar and Batra, Nipun},\ntitle = {PlantDoc: A Dataset for Visual Plant Disease Detection},\nyear = {2020},\nisbn = {9781450377386},\npublisher = {Association for Computing Machinery},\nurl = {https://doi.org/10.1145/3371158.3371196},\ndoi = {10.1145/3371158.3371196},\nbooktitle = {Proceedings of the 7th ACM IKDD CoDS and 25th COMAD},\npages = {249–253},\nseries = {CoDS COMAD 2020}\n}"
@@ -5012,10 +5012,10 @@
     "machine_learning_task": "object_detection",
     "agricultural_task": "crop_detection",
     "location": null,
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
-    "platform": "handheld/ground",
+    "platform": "handheld, ground",
     "input_data_format": "JPG",
     "annotation_format": "coco_json",
     "num_images": 175,
@@ -5034,7 +5034,7 @@
     "examples_image_url": "/img/agml/sample_images/strawberry_detection_2022_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/strawberry_detection_2022",
-    "license": "CC BY 4.0",
+    "license": "cc-by-4.0",
     "citation": "",
     "crop_types": [
       "strawberry"
@@ -5045,10 +5045,10 @@
     "machine_learning_task": "object_detection",
     "agricultural_task": "crop_detection",
     "location": null,
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
-    "platform": "handheld/ground",
+    "platform": "handheld, ground",
     "input_data_format": "JPG",
     "annotation_format": "coco_json",
     "num_images": 204,
@@ -5067,7 +5067,7 @@
     "examples_image_url": "/img/agml/sample_images/strawberry_detection_2023_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/strawberry_detection_2023",
-    "license": "CC BY 4.0",
+    "license": "cc-by-4.0",
     "citation": "",
     "crop_types": [
       "strawberry"
@@ -5078,7 +5078,7 @@
     "machine_learning_task": "object_detection",
     "agricultural_task": "maturity_detection",
     "location": null,
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "ground",
@@ -5100,7 +5100,7 @@
     "examples_image_url": "/img/agml/sample_images/tomato_ripeness_detection_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/strawberry_detection_2023",
-    "license": "CC BY-NC-SA 4.0",
+    "license": "cc-by-nc-sa-4.0",
     "citation": "",
     "crop_types": [
       "tomato"
@@ -5111,7 +5111,7 @@
     "machine_learning_task": "object_detection",
     "agricultural_task": "crop_detection",
     "location": null,
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "ground",
@@ -5133,7 +5133,7 @@
     "examples_image_url": "/img/agml/sample_images/wheat_head_counting_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/wheat_head_counting",
-    "license": "CC BY-SA 4.0",
+    "license": "cc-by-sa-4.0",
     "citation": "@article{david2020global,\n  title={Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high-resolution RGB-labelled images to develop and benchmark wheat head detection methods},\n  author={David, Etienne and Madec, Simon and Sadeghi-Tehran, Pouria and Aasen, Helge and Zheng, Bangyou and Liu, Shouyang and Kirchgessner, Norbert and Ishikawa, Goro and Nagasawa, Koichi and Badhon, Minhajul A and others},\n  journal={Plant Phenomics},\n  volume={2020},\n  year={2020},\n  publisher={Science Partner Journal}\n  }",
     "crop_types": [
       "wheat"
@@ -5145,7 +5145,7 @@
     "machine_learning_task": "image_classification",
     "agricultural_task": "weed_classification",
     "location": "Greece",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "handheld",
@@ -5167,7 +5167,7 @@
     "examples_image_url": "/img/agml/sample_images/crop_weeds_greece_sample.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/crop_weeds_greece",
-    "license": "MIT",
+    "license": "mit",
     "citation": "@article{ESPEJOGARCIA2020105306,\n  title = {Towards weeds identification assistance through transfer learning},\n  journal = {Computers and Electronics in Agriculture},\n  volume = {171},\n  pages = {105306},\n  year = {2020},\n  issn = {0168-1699},\n  doi = {https://doi.org/10.1016/j.compag.2020.105306},\n  url = {https://www.sciencedirect.com/science/article/pii/S0168169919319854},\n  author = {Borja Espejo-Garcia and Nikos Mylonas and Loukas Athanasakos and Spyros Fountas and Ioannis Vasilakoglou},\n  keywords = {Weed identification, Deep learning, Transfer learning, Open data, Precision agriculture},\n  abstract = {Reducing the use of pesticides through selective spraying is an important component towards a more sustainable computer-assisted agriculture. Weed identification at early growth stage contributes to reduced herbicide rates. However, while computer vision alongside deep learning have overcome the performance of approaches that use hand-crafted features, there are still some open challenges in the development of a reliable automatic plant identification system. These type of systems have to take into account different sources of variability, such as growth stages and soil conditions, with the added constraint of the limited size of usual datasets. This study proposes a novel crop/weed identification system that relies on a combination of fine-tuning pre-trained convolutional networks (Xception, Inception-Resnet, VGNets, Mobilenet and Densenet) with the “traditional” machine learning classifiers (Support Vector Machines, XGBoost and Logistic Regression) trained with the previously deep extracted features. The aim of this approach was to avoid overfitting and to obtain a robust and consistent performance. To evaluate this approach, an open access dataset of two crop [tomato (Solanum lycopersicum L.) and cotton (Gossypium hirsutum L.)] and two weed species [black nightshade (Solanum nigrum L.) and velvetleaf (Abutilon theophrasti Medik.)] was generated. The pictures were taken by different production sites across Greece under natural variable light conditions from RGB cameras. The results revealed that a combination of fine-tuned Densenet and Support Vector Machine achieved a micro F1 score of 99.29% with a very low performance difference between train and test sets. Other evaluated approaches also obtained repeatedly more than 95% F1 score. Additionally, our results analysis provides some heuristics for designing transfer-learning based systems to avoid overfitting without decreasing performance.}\n}",
     "crop_types": [
       "cotton",
@@ -5180,10 +5180,10 @@
     "machine_learning_task": "image_classification",
     "agricultural_task": "weed_classification",
     "location": "Denmark",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
-    "platform": "ground_fixed",
+    "platform": "fixed",
     "input_data_format": "PNG",
     "annotation_format": "directory_names",
     "num_images": 5539,
@@ -5202,7 +5202,7 @@
     "examples_image_url": "/img/agml/sample_images/plant_seedlings_aarhus_sample.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/plant_seedlings_aarhus",
-    "license": "CC BY-SA 4.0",
+    "license": "cc-by-sa-4.0",
     "citation": "@article{Giselsson2017,\n  author = {Giselsson, Thomas Mosgaard and Dyrmann, Mads and J{\\o}rgensen, Rasmus Nyholm and Jensen, Peter Kryger and Midtiby, Henrik Skov},\n  journal = {arXiv preprint},\n  keywords = {benchmark,database,plant seedlings,segmentation,site-specific weed control},\n  title = {{A Public Image Database for Benchmark of Plant Seedling Classification Algorithms}},\n  year = {2017}\n}",
     "crop_types": [
       "maize",
@@ -5215,7 +5215,7 @@
     "machine_learning_task": "image_classification",
     "agricultural_task": "weed_classification",
     "location": "Brazil",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "lab",
     "platform": "uav",
@@ -5237,7 +5237,7 @@
     "examples_image_url": "/img/agml/sample_images/soybean_weed_uav_brazil_sample.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/soybean_weed_uav_brazil",
-    "license": "CC BY-NC 3.0",
+    "license": "cc-by-nc-3.0",
     "citation": "dos Santos Ferreira, Alessandro; Pistori, Hemerson; Matte Freitas, Daniel; Gonçalves da Silva, Gercina (2017), “Data for: Weed Detection in Soybean Crops Using ConvNets”, Mendeley Data, V2, doi: 10.17632/3fmjm7ncc6.2",
     "crop_types": [
       "soybean"
@@ -5249,10 +5249,10 @@
     "machine_learning_task": "image_classification",
     "agricultural_task": "damage_classification",
     "location": "United States of America",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "lab",
-    "platform": "ground_fixed",
+    "platform": "fixed",
     "input_data_format": "bmp",
     "annotation_format": "directory_names",
     "num_images": 153,
@@ -5283,7 +5283,7 @@
     "machine_learning_task": "image_classification",
     "agricultural_task": "disease_classification",
     "location": "Pakistan",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "ground",
@@ -5317,7 +5317,7 @@
     "machine_learning_task": "image_classification",
     "agricultural_task": "disease_classification",
     "location": null,
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "ground",
@@ -5339,7 +5339,7 @@
     "examples_image_url": "/img/agml/sample_images/plant_doc_classification_sample.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/plant_doc_classification",
-    "license": "CC BY-SA 4.0",
+    "license": "cc-by-sa-4.0",
     "citation": "@inproceedings{10.1145/3371158.3371196,\n  author = {Singh, Davinder and Jain, Naman and Jain, Pranjali and Kayal, Pratik and Kumawat, Sudhakar and Batra, Nipun},\n  title = {PlantDoc: A Dataset for Visual Plant Disease Detection},\n  year = {2020},\n  isbn = {9781450377386},\n  publisher = {Association for Computing Machinery},\n  address = {New York, NY, USA},\n  url = {https://doi.org/10.1145/3371158.3371196},\n  doi = {10.1145/3371158.3371196},\n  booktitle = {Proceedings of the 7th ACM IKDD CoDS and 25th COMAD},\n  pages = {249–253},\n  numpages = {5},\n  keywords = {Deep Learning, Object Detection, Image Classification},\n  location = {Hyderabad, India},\n  series = {CoDS COMAD 2020}\n  }",
     "crop_types": [
       "apple",
@@ -5362,7 +5362,7 @@
     "machine_learning_task": "image_classification",
     "agricultural_task": "disease_classification",
     "location": "United States of America",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "lab",
     "platform": "ground",
@@ -5409,7 +5409,7 @@
     "machine_learning_task": "image_classification",
     "agricultural_task": "weed_classification",
     "location": "Australia",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "ground",
@@ -5431,7 +5431,7 @@
     "examples_image_url": "/img/agml/sample_images/rangeland_weeds_australia_sample.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/rangeland_weeds_australia",
-    "license": "CC BY-SA 4.0",
+    "license": "cc-by-sa-4.0",
     "citation": "@Article{Olsen2019,\n  author={Olsen, Alex and Konovalov, Dmitry A. and Philippa, Bronson and Ridd, Peter and Wood, Jake C. and Johns, Jamie and Banks, Wesley and Girgenti, Benjamin and Kenny, Owen and Whinney, James and Calvert, Brendan and Azghadi, Mostafa Rahimi and White, Ronald D.},\n  title={DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning},\n  journal={Scientific Reports},\n  year={2019},\n  month={Feb},\n  day={14},\n  volume={9},\n  number={1},\n  pages={2058},\n  abstract={Robotic weed control has seen increased research of late with its potential for boosting productivity in agriculture. Majority of works focus on developing robotics for croplands, ignoring the weed management problems facing rangeland stock farmers. Perhaps the greatest obstacle to widespread uptake of robotic weed control is the robust classification of weed species in their natural environment. The unparalleled successes of deep learning make it an ideal candidate for recognising various weed species in the complex rangeland environment. This work contributes the first large, public, multiclass image dataset of weed species from the Australian rangelands; allowing for the development of robust classification methods to make robotic weed control viable. The DeepWeeds dataset consists of 17,509 labelled images of eight nationally significant weed species native to eight locations across northern Australia. This paper presents a baseline for classification performance on the dataset using the benchmark deep learning models, Inception-v3 and ResNet-50. These models achieved an average classification accuracy of 95.1{\\%} and 95.7{\\%}, respectively. We also demonstrate real time performance of the ResNet-50 architecture, with an average inference time of 53.4 ms per image. These strong results bode well for future field implementation of robotic weed control methods in the Australian rangelands.},\n  issn={2045-2322},\n  doi={10.1038/s41598-018-38343-3},\n  url={https://doi.org/10.1038/s41598-018-38343-3}\n}",
     "crop_types": null,
     "bibtex": "@Article{Olsen2019,\nauthor={Olsen, Alex and Konovalov, Dmitry A. and Philippa, Bronson and Ridd, Peter and Wood, Jake C. and Johns, Jamie and Banks, Wesley and Girgenti, Benjamin and Kenny, Owen and Whinney, James and Calvert, Brendan and Azghadi, Mostafa Rahimi and White, Ronald D.},\ntitle={DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning},\njournal={Scientific Reports},\nyear={2019},\nmonth={Feb},\nday={14},\nvolume={9},\nnumber={1},\npages={2058},\nissn={2045-2322},\ndoi={10.1038/s41598-018-38343-3},\nurl={https://doi.org/10.1038/s41598-018-38343-3}\n}"
@@ -5441,7 +5441,7 @@
     "machine_learning_task": "image_classification",
     "agricultural_task": "disease_classification",
     "location": null,
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "uav",
@@ -5474,7 +5474,7 @@
     "machine_learning_task": "image_classification",
     "agricultural_task": "disease_classification",
     "location": null,
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "ground",
@@ -5508,7 +5508,7 @@
     "machine_learning_task": "image_classification",
     "agricultural_task": "disease_classification",
     "location": null,
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "lab",
     "platform": "handheld",
@@ -5530,7 +5530,7 @@
     "examples_image_url": "/img/agml/sample_images/tomato_leaf_disease_sample.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/tomato_leaf_disease",
-    "license": "CC0: Public Domain",
+    "license": "cc0-1.0",
     "citation": "",
     "crop_types": [
       "tomato"
@@ -5541,10 +5541,10 @@
     "machine_learning_task": "image_classification",
     "agricultural_task": "disease_classification",
     "location": null,
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
-    "platform": "handheld/ground",
+    "platform": "handheld, ground",
     "input_data_format": "jpg, png, jpeg, JPG",
     "annotation_format": "directory_names",
     "num_images": 3866,
@@ -5563,7 +5563,7 @@
     "examples_image_url": "/img/agml/sample_images/vine_virus_photo_dataset_sample.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/vine_virus_photo_dataset",
-    "license": "Apache 2.0",
+    "license": "apache-2.0",
     "citation": "",
     "crop_types": [
       "vine"
@@ -5616,7 +5616,7 @@
     "machine_learning_task": "image_classification",
     "agricultural_task": "disease_classification",
     "location": "Bangladesh",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "uav",
@@ -5638,7 +5638,7 @@
     "examples_image_url": "/img/agml/sample_images/betel_leaf_disease_classification_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/betel_leaf_disease_classification",
-    "license": "CC BY 4.0",
+    "license": "cc-by-4.0",
     "citation": "Rashid, Mohammad Rifat Ahmmad; Hossain, Md. Miskat ; Biswas,  Joy ; Majumder, Hredoy  (2024), “Betel Leaf Image Dataset from Bangladesh”, Mendeley Data, V2, doi: 10.17632/g7fpgj57wc.2",
     "crop_types": [
       "betel"
@@ -5650,7 +5650,7 @@
     "machine_learning_task": "image_classification",
     "agricultural_task": "disease_classification",
     "location": "India",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "platform": "uav",
     "input_data_format": "JPG",
@@ -5671,7 +5671,7 @@
     "examples_image_url": "/img/agml/sample_images/tea_leaf_disease_classification_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/tea_leaf_disease_classification",
-    "license": "CC BY-NC 4.0",
+    "license": "cc-by-nc-4.0",
     "citation": "@article{BALASUNDARAM2025103784, title = {Tea leaf disease detection using segment anything model and deep convolutional neural networks}, journal = {Results in Engineering}, volume = {25}, pages = {103784}, year = {2025}, issn = {2590-1230}, doi = {https://doi.org/10.1016/j.rineng.2024.103784}, url = {https://www.sciencedirect.com/science/article/pii/S2590123024020279}, author = {Ananthakrishnan Balasundaram and Prem Sundaresan and Aryan Bhavsar and Mishti Mattu and Muthu Subash Kavitha and Ayesha Shaik}}",
     "crop_types": [
       "tea"
@@ -5683,7 +5683,7 @@
     "machine_learning_task": "image_classification",
     "agricultural_task": "damage_classification",
     "location": "Brazil",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "platform": "uav",
     "input_data_format": "JPG",
@@ -5704,7 +5704,7 @@
     "examples_image_url": "/img/agml/sample_images/soybean_insect_classification_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/soybean_insect_classification",
-    "license": "CC BY 4.0",
+    "license": "cc-by-4.0",
     "citation": "Mignoni, Maria Eloisa (2021), “Images of Soybean Leaves”, Mendeley Data, V1, doi: 10.17632/bycbh73438.1",
     "crop_types": [
       "soybean"
@@ -5739,7 +5739,7 @@
     "examples_image_url": "/img/agml/sample_images/sunflower_disease_classification_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/sunflower_disease_classification",
-    "license": "CC BY 4.0",
+    "license": "cc-by-4.0",
     "citation": "Rajbongshi, Aditya; Sara, Umme ; Akter, Bonna ; Shakil, Rashiduzzaman ; Sazzad, Sadia (2022), “Sun Flower Fruits and Leaves dataset for Sunflower Disease Classification through Machine Learning and Deep Learning”, Mendeley Data, V1, doi: 10.17632/b83hmrzth8.1",
     "crop_types": [
       "sunflower"
@@ -5757,10 +5757,10 @@
     "machine_learning_task": "semantic_segmentation",
     "agricultural_task": "weed_segmentation",
     "location": "Germany",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
-    "platform": "ground_mobile",
+    "platform": "ground",
     "input_data_format": "PNG",
     "annotation_format": "image",
     "num_images": 60,
@@ -5791,7 +5791,7 @@
     "machine_learning_task": "semantic_segmentation",
     "agricultural_task": "crop_segmentation",
     "location": "United States of America",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "ground",
@@ -5813,7 +5813,7 @@
     "examples_image_url": "/img/agml/sample_images/apple_flower_segmentation_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/apple_flower_segmentation",
-    "license": "US Public Domain",
+    "license": "us-public-domain",
     "citation": "@ARTICLE{8392727,\n  author={Dias, Philipe A. and Tabb, Amy and Medeiros, Henry},\n  journal={IEEE Robotics and Automation Letters}, \n  title={Multispecies Fruit Flower Detection Using a Refined Semantic Segmentation Network}, \n  year={2018},\n  volume={3},\n  number={4},\n  pages={3003-3010},\n  doi={10.1109/LRA.2018.2849498}}",
     "crop_types": [
       "apple"
@@ -5825,7 +5825,7 @@
     "machine_learning_task": "semantic_segmentation",
     "agricultural_task": "crop_segmentation",
     "location": "United States of America",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "ground",
@@ -5847,7 +5847,7 @@
     "examples_image_url": "/img/agml/sample_images/apple_segmentation_minnesota_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/apple_segmentation_minnesota",
-    "license": "MIT",
+    "license": "mit",
     "citation": "@misc{hani2019minneapple,\n    title={MinneApple: A Benchmark Dataset for Apple Detection and Segmentation},\n    author={Nicolai Häni and Pravakar Roy and Volkan Isler}\n    year={2019},\n    eprint={1909.06441},\n    archivePrefix={arXiv},\n    primaryClass={cs.CV}\n}",
     "crop_types": [
       "apple"
@@ -5859,7 +5859,7 @@
     "machine_learning_task": "semantic_segmentation",
     "agricultural_task": "weed_segmentation",
     "location": "China",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "handheld",
@@ -5893,7 +5893,7 @@
     "machine_learning_task": "semantic_segmentation",
     "agricultural_task": "weed_segmentation",
     "location": null,
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
     "platform": "ground",
@@ -5915,7 +5915,7 @@
     "examples_image_url": "/img/agml/sample_images/sugarbeet_weed_segmentation_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/sugarbeet_weed_segmentation",
-    "license": "GPL-3.0",
+    "license": "gpl-3.0",
     "citation": "@ARTICLE{8115245,\n  author={I. Sa and Z. Chen and M. Popović and R. Khanna and F. Liebisch and J. Nieto and R. Siegwart},\n  journal={IEEE Robotics and Automation Letters},\n  title={weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming},\n  year={2018},\n  volume={3},\n  number={1},\n  pages={588-595},\n  keywords={agriculture;agrochemicals;autonomous aerial vehicles;control engineering computing;convolution;crops;feature extraction;image classification;learning (artificial intelligence);neural nets;vegetation;MAV;SegNet;convolutional neural network;crop health;crop management;curve classification metrics;dense semantic classes;dense semantic weed classification;encoder-decoder;input image channels;multispectral images;selective weed treatment;vegetation index;weed detection;Agriculture;Cameras;Image segmentation;Robots;Semantics;Training;Vegetation mapping;Aerial systems;agricultural automation;applications;robotics in agriculture and forestry},\n  doi={10.1109/LRA.2017.2774979},\n  ISSN={},\n  month={Jan}\n}",
     "crop_types": [
       "sugar beet"
@@ -5927,7 +5927,7 @@
     "machine_learning_task": "semantic_segmentation",
     "agricultural_task": "crop_segmentation",
     "location": "Digital, Digital",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "synthetic",
     "environment": "field",
     "platform": "aerial",
@@ -5941,7 +5941,7 @@
     "examples_image_url": "/img/agml/sample_images/bean_synthetic_earlygrowth_aerial_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/bean_synthetic_earlygrowth_aerial",
-    "license": "MIT",
+    "license": "mit",
     "citation": "@ARTICLE{10.3389/fpls.2019.01185,\n  \nAUTHOR={Bailey, Brian N.},   \n\t \nTITLE={Helios: A Scalable 3D Plant and Environmental Biophysical Modeling Framework},      \n\t\nJOURNAL={Frontiers in Plant Science},      \n\t\nVOLUME={10},      \n\t\nYEAR={2019},      \n\t  \nURL={https://www.frontiersin.org/article/10.3389/fpls.2019.01185},       \n\t\nDOI={10.3389/fpls.2019.01185},      \n\t\nISSN={1664-462X},   \n   \nABSTRACT={This article presents an overview of Helios, a new three-dimensional (3D) plant and environmental modeling framework. Helios is a model coupling framework designed to provide maximum flexibility in integrating and running arbitrary 3D environmental system models. Users interact with Helios through a well-documented open-source C++ API. Version 1.0 comes with model plug-ins for radiation transport, the surface energy balance, stomatal conductance, photosynthesis, solar position, and procedural tree generation. Additional plug-ins are also available for visualizing model geometry and data and for processing and integrating LiDAR scanning data. Many of the plug-ins perform calculations on the graphics processing unit, which allows for efficient simulation of very large domains with high detail. An example modeling study is presented in which leaf-level heterogeneity in water usage and photosynthesis of an orchard is examined to understand how this leaf-scale variability contributes to whole-tree and -canopy fluxes.}\n}",
     "crop_types": [
       "bean"
@@ -5953,10 +5953,10 @@
     "machine_learning_task": "semantic_segmentation",
     "agricultural_task": "crop_segmentation",
     "location": null,
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
-    "platform": "handheld/ground",
+    "platform": "handheld, ground",
     "input_data_format": "JPG",
     "annotation_format": "image",
     "num_images": 1542,
@@ -6000,7 +6000,7 @@
     "examples_image_url": "/img/agml/sample_images/peachpear_flower_segmentation_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/peachpear_flower_segmentation",
-    "license": "US Public Domain",
+    "license": "us-public-domain",
     "citation": "@ARTICLE{8392727,\n  author={Dias, Philipe A. and Tabb, Amy and Medeiros, Henry},\n  journal={IEEE Robotics and Automation Letters}, \n  title={Multispecies Fruit Flower Detection Using a Refined Semantic Segmentation Network}, \n  year={2018},\n  volume={3},\n  number={4},\n  pages={3003-3010},\n  doi={10.1109/LRA.2018.2849498}}",
     "crop_types": [
       "peach",
@@ -6013,10 +6013,10 @@
     "machine_learning_task": "semantic_segmentation",
     "agricultural_task": "crop_segmentation",
     "location": "Greece",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "environment": "field",
-    "platform": "handheld/ground",
+    "platform": "handheld, ground",
     "input_data_format": "JPG",
     "annotation_format": "image",
     "num_images": 258,
@@ -6047,7 +6047,7 @@
     "machine_learning_task": "semantic_segmentation",
     "agricultural_task": "crop_segmentation",
     "location": null,
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
     "platform": "aerial",
     "input_data_format": "PNG",
@@ -6068,7 +6068,7 @@
     "examples_image_url": "/img/agml/sample_images/vegann_multicrop_presence_segmentation_examples.webp",
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/vegann_multicrop_presence_segmentation",
-    "license": "CC BY-SA 4.0",
+    "license": "cc-by-sa-4.0",
     "citation": " @article{Madec_Irfan_Velumani_Baret_David_Daubige_Samatan_Serouart_Smith_James_et al._2023, title={VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentation}, volume={10}, ISSN={2052-4463}, url={https://www.nature.com/articles/s41597-023-02098-y}, DOI={10.1038/s41597-023-02098-y}, abstractNote={Abstract\n            \n              Applying deep learning to images of cropping systems provides new knowledge and insights in research and commercial applications. Semantic segmentation or pixel-wise classification, of RGB images acquired at the ground level, into vegetation and background is a critical step in the estimation of several canopy traits. Current state of the art methodologies based on convolutional neural networks (CNNs) are trained on datasets acquired under controlled or indoor environments. These models are unable to generalize to real-world images and hence need to be fine-tuned using new labelled datasets. This motivated the creation of the VegAnn -\n              Veg\n              etation\n              Ann\n              otation - dataset, a collection of 3775 multi-crop RGB images acquired for different phenological stages using different systems and platforms in diverse illumination conditions. We anticipate that VegAnn will help improving segmentation algorithm performances, facilitate benchmarking and promote large-scale crop vegetation segmentation research.}, number={1}, journal={Scientific Data}, author={Madec, Simon and Irfan, Kamran and Velumani, Kaaviya and Baret, Frederic and David, Etienne and Daubige, Gaetan and Samatan, Lucas Bernigaud and Serouart, Mario and Smith, Daniel and James, Chrisbin and Camacho, Fernando and Guo, Wei and De Solan, Benoit and Chapman, Scott C. and Weiss, Marie}, year={2023}, month=may, pages={302}, language={en} }\n",
     "crop_types": null
   },
@@ -6077,9 +6077,9 @@
     "machine_learning_task": "semantic_segmentation",
     "agricultural_task": "crop_segmentation",
     "location": "Greece",
-    "sensor_modality": "RGB",
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
-    "platform": "handheld/ground",
+    "platform": "handheld, ground",
     "input_data_format": "JPG",
     "annotation_format": "image",
     "num_images": 273,
@@ -6772,10 +6772,7 @@
       "Canon R50 with RF 35 mm lens"
     ],
     "collection_period": "July 2023 to November 2023, July 2024 to November 2024",
-    "platform": [
-      "ground",
-      "handheld"
-    ],
+    "platform": "ground, handheld",
     "bibtex": "@article{shinde2025indian,\n  title={An Indian annotated weed dataset for computer vision tasks in precision farming},\n  author={Shinde, Sayali and Attar, Vahida},\n  journal={Data in Brief},\n  volume={61},\n  pages={111691},\n  year={2025},\n  publisher={Elsevier}\n}"
   },
   {
@@ -6833,10 +6830,7 @@
       "Canon R50 with RF 35 mm lens"
     ],
     "collection_period": "July 2023 to November 2023, July 2024 to November 2024",
-    "platform": [
-      "ground",
-      "handheld"
-    ],
+    "platform": "ground, handheld",
     "bibtex": "@article{shinde2025indian,\n  title={An Indian annotated weed dataset for computer vision tasks in precision farming},\n  author={Shinde, Sayali and Attar, Vahida},\n  journal={Data in Brief},\n  volume={61},\n  pages={111691},\n  year={2025},\n  publisher={Elsevier}\n}"
   },
   {
@@ -6985,7 +6979,7 @@
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/weed_crop_detection",
     "examples_image_url": "/img/agml/sample_images/weed_crop_detection_sample.webp",
-    "country": "United States of America",
+    "country": "United States",
     "imaging_equipment": [
       "Canon EOS 90D mounted on ground robotic platforms"
     ],
@@ -7465,10 +7459,7 @@
       "Mavic Air 2"
     ],
     "collection_period": "about 6 months",
-    "platform": [
-      "uav",
-      "handheld"
-    ],
+    "platform": "uav, handheld",
     "bibtex": "@article{al2023image,\n  title={Image dataset of infected date palm leaves by dubas insects},\n  author={Al-Mahmood, Abdullah Mazin and Shahadi, Haider Ismael and Khayeat, Ali Retha Hasoon},\n  journal={Data in Brief},\n  volume={49},\n  pages={109371},\n  year={2023},\n  publisher={Elsevier}\n}"
   },
   {
@@ -8129,7 +8120,7 @@
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/CoLeaf_nutritional_deficiency_classification",
     "examples_image_url": "/img/agml/sample_images/CoLeaf_nutritional_deficiency_classificiation_sample.webp",
-    "country": "Perú",
+    "country": "Peru",
     "imaging_equipment": [
       "Canon PowerShot SX50 HS"
     ],
@@ -9525,7 +9516,7 @@
       "SuaAcu",
       "SuaAeg"
     ],
-    "license": "cc0 1.0",
+    "license": "cc0-1.0",
     "documentation": "https://doi.org/10.1016/j.dib.2021.107478",
     "citation": "Heidary-Sharifabad, Ahmad; Sardari Zarchi, Mohsen; Emadi, Sima; Zarei, Gholamreza (2021), “ACHENY : A Standard Chenopodiaceae Image dataset  for Deep Learning Models”, Mendeley Data, V1, doi: 10.17632/fpfty8nn7j.1",
     "zip_size_bytes": 1036414540,
@@ -9878,7 +9869,7 @@
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/Medjool_date_ripeness_detection",
     "examples_image_url": "/img/agml/sample_images/Medjool_date_ripeness_classification_sample.webp",
-    "country": "México",
+    "country": "Mexico",
     "imaging_equipment": [
       "Canon EOS Rebel T6",
       "Samsung SM-N950F",
@@ -10704,7 +10695,7 @@
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/ImageWeeds_weed_detection",
     "examples_image_url": "/img/agml/sample_images/ImageWeeds_weed_detection_sample.webp",
-    "country": "United States of America",
+    "country": "United States",
     "imaging_equipment": [
       "Canon 90D"
     ],
@@ -10755,7 +10746,7 @@
     "source": "huggingface",
     "hf_link": "https://huggingface.co/datasets/Project-AgML/ImageWeeds_aerial_weed_detection",
     "examples_image_url": "/img/agml/sample_images/ImageWeeds_aerial_weed_detection_sample.webp",
-    "country": "United States of America",
+    "country": "United States",
     "imaging_equipment": [
       "DJI Phantom 4 Pro (V2.0)"
     ],
@@ -11114,7 +11105,7 @@
     "location": [
       "Plant Growth Facility, University of Minnesota Twin Cities, Minneapolis, Minnesota, United States of America"
     ],
-    "country": "United States of America",
+    "country": "United States",
     "environment": "mixed",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -11152,7 +11143,7 @@
     "location": [
       "Waldron Greenhouse, North Dakota State University, Fargo, North Dakota, United States of America"
     ],
-    "country": "United States of America",
+    "country": "United States",
     "environment": "greenhouse",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -11213,7 +11204,7 @@
     "location": [
       "Waldron Greenhouse, North Dakota State University, Fargo, North Dakota, United States of America"
     ],
-    "country": "United States of America",
+    "country": "United States",
     "environment": "greenhouse",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -11313,7 +11304,7 @@
       "Black Belt Experiment Station, Brooksville, Mississippi, United States of America",
       "Horticultural Research and Extension Center, University of Michigan, Holt, Michigan, United States of America"
     ],
-    "country": "United States of America",
+    "country": "United States",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -11389,16 +11380,9 @@
       "citrus",
       "+multiple other crops"
     ],
-    "sensor_modality": [
-      "rgb",
-      "nir multispectral"
-    ],
+    "sensor_modality": "rgb, multispectral",
     "real_or_synthetic": "real",
-    "platform": [
-      "uav",
-      "satellite",
-      "ground camera"
-    ],
+    "platform": "uav, satellite, ground",
     "input_data_format": "",
     "annotation_format": null,
     "conversation_format": "single_turn_reasoning",
@@ -11468,13 +11452,9 @@
       "wheat",
       "+193 more"
     ],
-    "sensor_modality": [
-      "rgb"
-    ],
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
-    "platform": [
-      "ground"
-    ],
+    "platform": "ground",
     "input_data_format": "",
     "annotation_format": null,
     "conversation_format": "single_turn_reasoning",
@@ -11531,16 +11511,9 @@
     "crop_types": [
       "mixed multiple sources"
     ],
-    "sensor_modality": [
-      "rgb",
-      "multispectral"
-    ],
+    "sensor_modality": "rgb, multispectral",
     "real_or_synthetic": "real",
-    "platform": [
-      "uav",
-      "satellite",
-      "ground"
-    ],
+    "platform": "uav, satellite, ground",
     "input_data_format": "",
     "annotation_format": null,
     "conversation_format": "single_turn_reasoning",
@@ -11607,13 +11580,9 @@
     "crop_types": [
       "wheat"
     ],
-    "sensor_modality": [
-      "rgb"
-    ],
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
-    "platform": [
-      "ground"
-    ],
+    "platform": "ground",
     "input_data_format": "",
     "annotation_format": null,
     "conversation_format": "single_turn_reasoning",
@@ -11675,13 +11644,9 @@
       "mango",
       "+24 more"
     ],
-    "sensor_modality": [
-      "rgb"
-    ],
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
-    "platform": [
-      "ground"
-    ],
+    "platform": "ground",
     "annotation_format": null,
     "conversation_format": "mixed",
     "num_images": 391785,
@@ -11755,13 +11720,9 @@
       "pumpkin",
       "peach"
     ],
-    "sensor_modality": [
-      "rgb"
-    ],
+    "sensor_modality": "rgb",
     "real_or_synthetic": "real",
-    "platform": [
-      "ground"
-    ],
+    "platform": "ground",
     "annotation_format": null,
     "conversation_format": "mixed",
     "num_images": null,
@@ -11848,7 +11809,7 @@
       "FLIR One Pro"
     ],
     "collection_period": "",
-    "platform": "mobile",
+    "platform": "handheld",
     "input_data_format": "parquet",
     "annotation_format": "classLabel",
     "num_images": 3959,
@@ -11917,7 +11878,7 @@
     "location": [
       "United States of America"
     ],
-    "country": "United States of America",
+    "country": "United States",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -11987,7 +11948,7 @@
     "location": [
       "University of Missouri Genetics Farm, Columbia, MO, United States of America"
     ],
-    "country": "United States of America",
+    "country": "United States",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -12035,10 +11996,7 @@
       "DJI Mavic Pro 3 UAV (Hasselblad 20MP 4/3-inch CMOS camera)"
     ],
     "collection_period": "2023-2024, 2024-2025",
-    "platform": [
-      "uav",
-      "ground"
-    ],
+    "platform": "uav, ground",
     "input_data_format": "parquet",
     "annotation_format": "segmentationMask",
     "num_images": 3345,
@@ -12089,7 +12047,7 @@
       "Mosaic",
       "Ring Spot"
     ],
-    "license": "Apache 2.0",
+    "license": "apache-2.0",
     "documentation": "https://doi.org/10.1016/j.atech.2026.101824",
     "citation": "https://www.kaggle.com/datasets/shourav123/enlarged-data",
     "zip_size_bytes": 13399856515,
@@ -12145,7 +12103,7 @@
       "Richton, Mississippi, United States of America",
       "Holt, Michigan, United States of America"
     ],
-    "country": "United States of America",
+    "country": "United States",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -12207,7 +12165,7 @@
       "NoRust",
       "Rust"
     ],
-    "license": "cc-0",
+    "license": "cc0-1.0",
     "documentation": "https://doi.org/10.1016/j.dib.2025.111421",
     "citation": "https://www.kaggle.com/datasets/jorgearoca/coffee-rust",
     "zip_size_bytes": 336085903,
@@ -12305,7 +12263,7 @@
       "DJI Phantom 4 Pro-Obsidian (5472x3648 pixels, drone)"
     ],
     "collection_period": "8 October 2020 - 25 November 2020",
-    "platform": "drone",
+    "platform": "uav",
     "input_data_format": "parquet",
     "annotation_format": "segmentationMask",
     "num_images": 244,
@@ -12833,7 +12791,7 @@
     "annotation_format": "segmentationMask",
     "num_images": 2042,
     "classes": [],
-    "license": "Apache-2.0",
+    "license": "apache-2.0",
     "documentation": "https://doi.org/10.1016/j.ecoinf.2025.103078",
     "citation": "https://www.kaggle.com/datasets/vvghigh/ruraluse",
     "zip_size_bytes": 18017979,
@@ -12850,7 +12808,7 @@
       "Illinois, United States of America"
     ],
     "lat_lon": [],
-    "country": "United States of America",
+    "country": "United States",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -13239,7 +13197,7 @@
       "Mites",
       "Virus"
     ],
-    "license": "Apache-2.0",
+    "license": "apache-2.0",
     "documentation": "https://doi.org/10.1186/s13007-025-01453-x",
     "citation": "https://github.com/SamratPaul16/YOLO_DyE",
     "bibtex": "@article{paul2025sca,\n  title={SCA-MobiPlant: smartphone-deployed multistage attention fusion model for accurate field detection of chili leaf curl complex},\n  author={Paul, Samrat and Emmadi, Venu and Sarkar, Mehulee and Das, Shubhajyoti and Roy, Anirban and Sinha, Parimal},\n  journal={Plant Methods},\n  volume={21},\n  pages={138},\n  year={2025},\n  publisher={BioMed Central}\n}",
@@ -13400,7 +13358,10 @@
       "Paitzkofen, Germany"
     ],
     "lat_lon": [],
-    "country": "France, Germany",
+    "country": [
+      "France",
+      "Germany"
+    ],
     "environment": "lab",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -13469,7 +13430,7 @@
       "Cache Valley, Utah, United States of America"
     ],
     "lat_lon": [],
-    "country": "United States of America",
+    "country": "United States",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -13519,7 +13480,7 @@
       "Agrocam NDVI sensor"
     ],
     "collection_period": "",
-    "platform": "drone",
+    "platform": "uav",
     "input_data_format": "parquet",
     "annotation_format": "segmentationMask",
     "num_images": 160,
@@ -13673,7 +13634,7 @@
       "River",
       "SeaLake"
     ],
-    "license": "MIT",
+    "license": "mit",
     "documentation": "https://doi.org/10.48550/arXiv.1709.00029",
     "citation": "Helber, P., Bischke, B., Dengel, A., & Borth, D. (2018). EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification [Dataset]. In EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification (Vol. 12, Issue 7, pp. 2217-2226). Zenodo. Introducing Eurosat: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification, Valencia, Spain. https://doi.org/10.5281/zenodo.7711810",
     "bibtex": "@article{helber2019eurosat,\n title={Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification},\n author={Helber, Patrick and Bischke, Benjamin and Dengel, Andreas and Borth, Damian},\n journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},\n volume={12},\n number={7},\n pages={2217--2226},\n year={2019},\n publisher={IEEE}}",
@@ -13723,7 +13684,7 @@
       "Lincolnshire, UK"
     ],
     "lat_lon": [],
-    "country": "UK",
+    "country": "United Kingdom",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -13756,7 +13717,7 @@
       "Lincolnshire, UK"
     ],
     "lat_lon": [],
-    "country": "UK",
+    "country": "United Kingdom",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -13845,7 +13806,7 @@
     "annotation_format": "segmentationMask",
     "num_images": 788,
     "classes": [],
-    "license": "MIT",
+    "license": "mit",
     "documentation": "https://doi.org/10.1109/ACCESS.2019.2942158",
     "citation": "https://github.com/ZhangXG001/Real-Time-Crop-Recognition",
     "bibtex": "@article{li2019real,\n title={Real-time crop recognition in transplanted fields with prominent weed growth: a visual-attention-based approach},\n author={Li, Nan and Zhang, Xiaoguang and Zhang, Chunlong and Guo, Huiwen and Sun, Zhe and Wu, Xinyu},\n journal={IEEE Access},\n volume={7},\n pages={185310--185321},\n year={2019},\n publisher={IEEE}}",
@@ -13892,7 +13853,7 @@
     "agricultural_task": "weed_classification",
     "location": [],
     "lat_lon": [],
-    "country": "United States of America",
+    "country": "United States",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -13901,7 +13862,7 @@
     "sensor_modality": "rgb",
     "imaging_equipment": [],
     "collection_period": "2020, 2021",
-    "platform": "handhled",
+    "platform": "handheld",
     "input_data_format": "parquet",
     "annotation_format": "classLabel",
     "num_images": 5187,
@@ -14436,7 +14397,7 @@
     "crop_types": [
       "lettuce"
     ],
-    "sensor_modality": "thermal-rgb",
+    "sensor_modality": "rgb, thermal",
     "imaging_equipment": [
       "FLIR C5 (Teledyne FLIR LLC., USA)"
     ],
@@ -14464,7 +14425,10 @@
       "CZU campus, Czech Republic"
     ],
     "lat_lon": [],
-    "country": "Slovakia, Czech Republic",
+    "country": [
+      "Slovakia",
+      "Czech Republic"
+    ],
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -14510,7 +14474,10 @@
       "CZU campus, Czech Republic"
     ],
     "lat_lon": [],
-    "country": "Slovakia, Czech Republic",
+    "country": [
+      "Slovakia",
+      "Czech Republic"
+    ],
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -14556,7 +14523,10 @@
       "CZU campus, Czech Republic"
     ],
     "lat_lon": [],
-    "country": "Slovakia, Czech Republic",
+    "country": [
+      "Slovakia",
+      "Czech Republic"
+    ],
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -14602,7 +14572,10 @@
       "CZU campus, Czech Republic"
     ],
     "lat_lon": [],
-    "country": "Slovakia, Czech Republic",
+    "country": [
+      "Slovakia",
+      "Czech Republic"
+    ],
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -14648,7 +14621,10 @@
       "CZU campus, Czech Republic"
     ],
     "lat_lon": [],
-    "country": "Slovakia, Czech Republic",
+    "country": [
+      "Slovakia",
+      "Czech Republic"
+    ],
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -15436,7 +15412,13 @@
       "22 regions across Brazil, Ukraine, United States, Canada and Russia"
     ],
     "lat_lon": [],
-    "country": "Brazil, Ukraine, United States, Canada, Russia",
+    "country": [
+      "Brazil",
+      "Ukraine",
+      "United States",
+      "Canada",
+      "Russia"
+    ],
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [],
@@ -16514,7 +16496,13 @@
       "United Kingdom"
     ],
     "lat_lon": [],
-    "country": "Denmark, Japan, New Zealand, Sweden, United Kingdom",
+    "country": [
+      "Denmark",
+      "Japan",
+      "New Zealand",
+      "Sweden",
+      "United Kingdom"
+    ],
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [],
@@ -16741,7 +16729,7 @@
     "sensor_modality": "rgb",
     "imaging_equipment": [],
     "collection_period": "2021-04",
-    "platform": "drone",
+    "platform": "uav",
     "input_data_format": "external",
     "annotation_format": "boundingBox",
     "classes": [],
@@ -17790,7 +17778,7 @@
     "input_data_format": "external",
     "annotation_format": "numericMeasurements",
     "classes": [],
-    "license": "CDLA-Permissive-1.0",
+    "license": "cdla-permissive-1.0",
     "documentation": "https://doi.org/10.1371/journal.pone.0297153",
     "citation": "Humplík, J. F. (2023). *Dataset of point-clouds generated by UAV LiDAR scanning of barley field-plot trial.* [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.10161951",
     "bibtex": "@article{fryk2024crop,\n  title={Crop growth dynamics: Fast automatic analysis of LiDAR images in field-plot experiments by specialized software ALFA},\n  author={Fryčák, Tadeáš and Fürst, Tomáš and Koprna, Radoslav and Špíšek, Zdeněk and Miřijovský, Jakub and Humplík, Jan F.},\n  journal={PLOS ONE},\n  volume={19},\n  pages={e0297153},\n  year={2024},\n  publisher={Public Library of Science}\n}",
@@ -18130,7 +18118,7 @@
       "Boyle Heights and City Terrace, Los Angeles, California, USA"
     ],
     "lat_lon": [],
-    "country": "USA",
+    "country": "United States",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [],
@@ -18164,7 +18152,12 @@
       "Maragua–Upper Tana, Kenya"
     ],
     "lat_lon": [],
-    "country": "Spain, Ukraine, Italy, Kenya",
+    "country": [
+      "Spain",
+      "Ukraine",
+      "Italy",
+      "Kenya"
+    ],
     "environment": "field",
     "real_or_synthetic": "mixed",
     "crop_types": [],
@@ -18175,7 +18168,7 @@
     "input_data_format": "external",
     "annotation_format": "classLabel",
     "classes": [],
-    "license": "cc-0",
+    "license": "cc0-1.0",
     "documentation": "https://doi.org/10.3390/rs18132137",
     "citation": "Meng, K. (2025). *<b>Data used in MSDI</b>* [Dataset]. figshare. https://doi.org/10.6084/M9.FIGSHARE.30246472.V1",
     "bibtex": "@article{meng2026interpretable,\n  title={An Interpretable Multi-Source Data Integration Framework for Prior-Guided Decametric-Resolution LAI Estimation},\n  author={Meng, Ke and Zhang, Zhewei and Wang, Qi and Wu, Tongzhou and Song, Zhubeijia and Wei, Haodong and Wang, Cong and Yin, Gaofei and Xu, Baodong},\n  journal={Remote Sensing},\n  volume={18},\n  pages={2137},\n  year={2026},\n  publisher={MDPI}\n}",
@@ -18229,7 +18222,10 @@
       "Paredes de Coura, Portugal"
     ],
     "lat_lon": [],
-    "country": "Spain, Portugal",
+    "country": [
+      "Spain",
+      "Portugal"
+    ],
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -18691,7 +18687,7 @@
       "smartphone"
     ],
     "collection_period": "2025",
-    "platform": "mobile",
+    "platform": "handheld",
     "input_data_format": "external",
     "annotation_format": "none",
     "classes": [],
@@ -18732,7 +18728,7 @@
       "HOBO weather stations"
     ],
     "collection_period": "",
-    "platform": "drone",
+    "platform": "uav",
     "input_data_format": "external",
     "annotation_format": "numericMeasurements",
     "classes": [],
@@ -18770,7 +18766,7 @@
       "DJI Zenmuse P1 camera (35 mm focal length lens, maximum resolution of 8192 × 5460 pixels)"
     ],
     "collection_period": "2021–2022",
-    "platform": "drone",
+    "platform": "uav",
     "input_data_format": "external",
     "annotation_format": "none",
     "classes": [],
@@ -18808,7 +18804,7 @@
       "Microsoft Azure Kinect, Microsoft (China) Co., Ltd., Beijing, China with a 1-megapixel depth sensor"
     ],
     "collection_period": "2023",
-    "platform": "smartphone",
+    "platform": "handheld",
     "input_data_format": "external",
     "annotation_format": "none",
     "classes": [],
@@ -18883,7 +18879,7 @@
       "DJI Elf 4 multispectral drone"
     ],
     "collection_period": "August 19 and August 27, 2024",
-    "platform": "drone",
+    "platform": "uav",
     "input_data_format": "external",
     "annotation_format": "numericMeasurements",
     "classes": [],
@@ -18907,7 +18903,7 @@
       "Purdue University, West Lafayette, Indiana, USA"
     ],
     "lat_lon": [],
-    "country": "USA",
+    "country": "United States",
     "environment": "greenhouse",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -18963,7 +18959,7 @@
       "LED144A, AmScope"
     ],
     "collection_period": "",
-    "platform": "mobile",
+    "platform": "handheld",
     "input_data_format": "external",
     "annotation_format": "none",
     "classes": [],
@@ -18989,7 +18985,7 @@
     "lat_lon": [
       "40.79, -77.86"
     ],
-    "country": "USA",
+    "country": "United States",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -19001,7 +18997,7 @@
       "YOLOv8 (fine-tuned from Ultralytics)"
     ],
     "collection_period": "",
-    "platform": "laptop",
+    "platform": "",
     "input_data_format": "external",
     "annotation_format": "none",
     "classes": [],
@@ -19536,7 +19532,7 @@
       "40.4436, -88.6326",
       "40.187, -90.4325"
     ],
-    "country": "USA",
+    "country": "United States",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -19622,7 +19618,7 @@
       "Lubrecht Experimental Forest, Montana, USA"
     ],
     "lat_lon": [],
-    "country": "USA",
+    "country": "United States",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -19660,7 +19656,7 @@
       "Wheeler Ridge, eastern Sierra Nevada, California, USA"
     ],
     "lat_lon": [],
-    "country": "USA",
+    "country": "United States",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -19674,7 +19670,7 @@
       "TimelapseCam Pro model; Wingscapes, Birmingham, AL, USA"
     ],
     "collection_period": "2018-2024",
-    "platform": "time-lapse",
+    "platform": "fixed",
     "input_data_format": "external",
     "annotation_format": "none",
     "classes": [],
@@ -20477,7 +20473,7 @@
       "DJIMini3 drone (Shenzhen DJI Innovation Technology Co., LTD., Nanshan District, Shenzhen City, Guangdong Province, China)"
     ],
     "collection_period": "5 March 2023 to 27 December 2023",
-    "platform": "drone",
+    "platform": "uav",
     "input_data_format": "external",
     "annotation_format": "none",
     "classes": [],
@@ -20513,7 +20509,7 @@
       "RTK-capable GNSS receiver"
     ],
     "collection_period": "March 2025",
-    "platform": "mobile",
+    "platform": "handheld",
     "input_data_format": "external",
     "annotation_format": "none",
     "classes": [],
@@ -20586,7 +20582,7 @@
       "Xiaomi M2010J19SG smartphone camera"
     ],
     "collection_period": "2025",
-    "platform": "smartphone",
+    "platform": "handheld",
     "input_data_format": "external",
     "annotation_format": "none",
     "classes": [],
@@ -20623,7 +20619,7 @@
       "DJI Mavic 3 Multispectral (SZ DJI Technology Co., Ltd., Shenzhen, China)"
     ],
     "collection_period": "2024 and 2025 growing seasons",
-    "platform": "drone",
+    "platform": "uav",
     "input_data_format": "external",
     "annotation_format": "numericMeasurements",
     "classes": [],
@@ -20775,7 +20771,7 @@
       "Mavic 2 Pro Camera (Hasselblad, Gothenburg, Sweden)"
     ],
     "collection_period": "2024 to April 2025",
-    "platform": "drone",
+    "platform": "uav",
     "input_data_format": "external",
     "annotation_format": "none",
     "classes": [],
@@ -21098,7 +21094,7 @@
       "GEDI"
     ],
     "collection_period": "2019–2020",
-    "platform": "spaceborne",
+    "platform": "satellite",
     "input_data_format": "external",
     "annotation_format": "none",
     "classes": [],
@@ -21202,7 +21198,13 @@
       "Kenya, Kenya"
     ],
     "lat_lon": [],
-    "country": "Nigeria, Guinea-Bissau, Madagascar, Mozambique, Kenya",
+    "country": [
+      "Nigeria",
+      "Guinea-Bissau",
+      "Madagascar",
+      "Mozambique",
+      "Kenya"
+    ],
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [],
@@ -21459,7 +21461,7 @@
       "North American ecoregions, North America"
     ],
     "lat_lon": [],
-    "country": "USA",
+    "country": "United States",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [],
@@ -21495,7 +21497,10 @@
       "Sub-Saharan Africa"
     ],
     "lat_lon": [],
-    "country": "Brazil, Russia",
+    "country": [
+      "Brazil",
+      "Russia"
+    ],
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [],
@@ -21600,7 +21605,10 @@
       "Sundarbans, India/Bangladesh"
     ],
     "lat_lon": [],
-    "country": "India, Bangladesh",
+    "country": [
+      "India",
+      "Bangladesh"
+    ],
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [],
@@ -21613,7 +21621,7 @@
     "input_data_format": "external",
     "annotation_format": "none",
     "classes": [],
-    "license": "gpl-3.0+",
+    "license": "gpl-3.0",
     "documentation": "https://doi.org/10.3390/rs15030625",
     "citation": "Zhang, Z. (2022). *Annual mangrove maps from 1988 to 2022 in the Sundarbans* [Dataset]. figshare. https://doi.org/10.6084/M9.FIGSHARE.21779636.V1",
     "bibtex": "@article{zhang2023monitoring,\n  title={Monitoring of 35-Year Mangrove Wetland Change Dynamics and Agents in the Sundarbans Using Temporal Consistency Checking},\n  author={Zhang, Zhen and Ahmed, Md Rasel and Zhang, Qian and Li, Yi and Li, Yangfan},\n  journal={Remote Sensing},\n  volume={15},\n  pages={625},\n  year={2023},\n  publisher={MDPI}\n}",
@@ -21745,7 +21753,7 @@
     "lat_lon": [
       "36.9975, -119.0244"
     ],
-    "country": "USA",
+    "country": "United States",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -21762,7 +21770,7 @@
       "independently integrated UAV hyperspectral system of the Chinese Academy of Surveying and Mapping"
     ],
     "collection_period": "2017",
-    "platform": "airborne",
+    "platform": "aerial",
     "input_data_format": "external",
     "annotation_format": "none",
     "classes": [],
@@ -21920,7 +21928,7 @@
       "Johnson WMA, Nebraska, USA"
     ],
     "lat_lon": [],
-    "country": "USA",
+    "country": "United States",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [],
@@ -22107,7 +22115,7 @@
       "Iowa, USA"
     ],
     "lat_lon": [],
-    "country": "USA",
+    "country": "United States",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [],
@@ -22269,7 +22277,7 @@
       "MicaSense RedEdge-M TM with a focal length of 6 mm (AgEagle Aerial Systems Inc., Wichita, KS, USA)"
     ],
     "collection_period": "2022",
-    "platform": "aircraft",
+    "platform": "aerial",
     "input_data_format": "external",
     "annotation_format": "none",
     "classes": [],
@@ -22304,7 +22312,7 @@
       "airborne LiDAR"
     ],
     "collection_period": "2011–2017",
-    "platform": "airborne",
+    "platform": "aerial",
     "input_data_format": "external",
     "annotation_format": "none",
     "classes": [],
@@ -22338,7 +22346,7 @@
       "AISAFenix sensor (Specim, Spectral Imaging, Ltd., Oulu, Finland)"
     ],
     "collection_period": "2016–2018",
-    "platform": "airborne",
+    "platform": "aerial",
     "input_data_format": "external",
     "annotation_format": "none",
     "classes": [],
@@ -22373,7 +22381,7 @@
       "AISAFenix sensor (Specim, Spectral Imaging, Ltd., Oulu, Finland)"
     ],
     "collection_period": "2016–2018",
-    "platform": "airborne",
+    "platform": "aerial",
     "input_data_format": "external",
     "annotation_format": "numericMeasurements",
     "classes": [],
@@ -22546,7 +22554,7 @@
       "southeastern North Carolina, USA"
     ],
     "lat_lon": [],
-    "country": "USA",
+    "country": "United States",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [],
@@ -22619,7 +22627,11 @@
       "Sangha Trinational, Republic of Congo, Congo"
     ],
     "lat_lon": [],
-    "country": "Republic of the Congo, Central African Republic, Cameroon",
+    "country": [
+      "Republic of the Congo",
+      "Central African Republic",
+      "Cameroon"
+    ],
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -22665,7 +22677,7 @@
       "Phantom 4 Pro v2.0 (DJI, Shenzhen, China) drone equipped with its default series RGB camera"
     ],
     "collection_period": "2025",
-    "platform": "drone",
+    "platform": "uav",
     "input_data_format": "external",
     "annotation_format": "none",
     "classes": [],
@@ -22690,7 +22702,7 @@
       "Costa Rica"
     ],
     "lat_lon": [],
-    "country": "USA",
+    "country": "United States",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [],
@@ -22956,7 +22968,7 @@
       "DJI Zenmuse P1 sensor (full-frame 45-megapixel camera with a 35 mm lens)"
     ],
     "collection_period": "summer of 2022",
-    "platform": "drone",
+    "platform": "uav",
     "input_data_format": "external",
     "annotation_format": "none",
     "classes": [],
@@ -23016,7 +23028,10 @@
       "Alaska region, USA"
     ],
     "lat_lon": [],
-    "country": "Russia, USA",
+    "country": [
+      "Russia",
+      "United States"
+    ],
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [],
@@ -23096,7 +23111,7 @@
       "digital hemispherical Mobotix Q 24 lens cameras (Mobotix AG-Germany, Winnweiler, Germany)"
     ],
     "collection_period": "four-year study period",
-    "platform": "phenocam",
+    "platform": "fixed",
     "input_data_format": "external",
     "annotation_format": "numericMeasurements",
     "classes": [],
@@ -23227,7 +23242,10 @@
       "San Francisco Bay Area, California, USA"
     ],
     "lat_lon": [],
-    "country": "Netherlands, USA",
+    "country": [
+      "Netherlands",
+      "United States"
+    ],
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -23498,7 +23516,7 @@
       "University of Nebraska-Lincoln, Nebraska, USA"
     ],
     "lat_lon": [],
-    "country": "USA",
+    "country": "United States",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -23675,7 +23693,11 @@
       "Van Cortlandt Park Preserve, New York, NY, United States"
     ],
     "lat_lon": [],
-    "country": "Canada; United Kingdom; United States",
+    "country": [
+      "Canada",
+      "United Kingdom",
+      "United States"
+    ],
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [],
@@ -23710,7 +23732,7 @@
       "Brewton Agricultural Research Unit, Brewton, Alabama, USA"
     ],
     "lat_lon": [],
-    "country": "USA",
+    "country": "United States",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -24148,7 +24170,7 @@
       "Sentinel-2"
     ],
     "collection_period": "",
-    "platform": "aircraft",
+    "platform": "aerial",
     "input_data_format": "external",
     "annotation_format": "classLabel",
     "classes": [],
@@ -24745,7 +24767,13 @@
       "Australia"
     ],
     "lat_lon": [],
-    "country": "Norway; Czech Republic; Austria; New Zealand; Australia",
+    "country": [
+      "Norway",
+      "Czech Republic",
+      "Austria",
+      "New Zealand",
+      "Australia"
+    ],
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [],
@@ -24885,7 +24913,7 @@
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [],
-    "sensor_modality": "thermal-rgb",
+    "sensor_modality": "rgb, thermal",
     "imaging_equipment": [
       "drone RGB camera",
       "drone thermal camera"
@@ -24985,7 +25013,11 @@
       "-33.600000, 150.716667",
       "0.500000, 12.783333"
     ],
-    "country": "Belgium; Australia; Gabon",
+    "country": [
+      "Belgium",
+      "Australia",
+      "Gabon"
+    ],
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [],
@@ -25027,7 +25059,7 @@
       "airborne LiDAR"
     ],
     "collection_period": "",
-    "platform": "aircraft",
+    "platform": "aerial",
     "input_data_format": "external",
     "annotation_format": "none",
     "classes": [],
@@ -25176,7 +25208,7 @@
       "full-waveform airborne laser scanner"
     ],
     "collection_period": "July 2019",
-    "platform": "aircraft",
+    "platform": "aerial",
     "input_data_format": "external",
     "annotation_format": "none",
     "classes": [],
@@ -25312,7 +25344,11 @@
       "-2.41, 113.13",
       "-12.27, -69.10"
     ],
-    "country": "Guyana; Indonesia; Peru",
+    "country": [
+      "Guyana",
+      "Indonesia",
+      "Peru"
+    ],
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [],
@@ -25562,7 +25598,7 @@
       "Optech Gemini airborne LiDAR"
     ],
     "collection_period": "November 2010",
-    "platform": "aircraft",
+    "platform": "aerial",
     "input_data_format": "external",
     "annotation_format": "segmentationMask",
     "classes": [],
@@ -25708,7 +25744,7 @@
       "Missouri Maize Center, University of Missouri, Columbia, Missouri, USA"
     ],
     "lat_lon": [],
-    "country": "USA",
+    "country": "United States",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -25851,7 +25887,7 @@
     "lat_lon": [
       "40.05425, -105.58237"
     ],
-    "country": "USA",
+    "country": "United States",
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -26696,7 +26732,14 @@
       "-2.2172, 37.7254",
       "-3.404, 36.7939"
     ],
-    "country": "Kenya, Malawi, Nigeria, Senegal, Tanzania, Uganda",
+    "country": [
+      "Kenya",
+      "Malawi",
+      "Nigeria",
+      "Senegal",
+      "Tanzania",
+      "Uganda"
+    ],
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -26778,7 +26821,16 @@
       "Image Safari collection sites, sub-Saharan Africa"
     ],
     "lat_lon": [],
-    "country": "Kenya, Tanzania, Malawi, Uganda, Nigeria, Ghana, Senegal, Côte d'Ivoire",
+    "country": [
+      "Kenya",
+      "Tanzania",
+      "Malawi",
+      "Uganda",
+      "Nigeria",
+      "Ghana",
+      "Senegal",
+      "Côte d'Ivoire"
+    ],
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [
@@ -27875,7 +27927,16 @@
       "Image Safari collection sites, sub-Saharan Africa"
     ],
     "lat_lon": [],
-    "country": "Kenya, Tanzania, Malawi, Uganda, Nigeria, Ghana, Senegal, Côte d'Ivoire",
+    "country": [
+      "Kenya",
+      "Tanzania",
+      "Malawi",
+      "Uganda",
+      "Nigeria",
+      "Ghana",
+      "Senegal",
+      "Côte d'Ivoire"
+    ],
     "environment": "field",
     "real_or_synthetic": "real",
     "crop_types": [