{"id":"https://openalex.org/W4286433578","doi":"https://doi.org/10.3390/rs14143504","title":"Nitrogen Balance Index Prediction of Winter Wheat by Canopy Hyperspectral Transformation and Machine Learning","display_name":"Nitrogen Balance Index Prediction of Winter Wheat by Canopy Hyperspectral Transformation and Machine Learning","publication_year":2022,"publication_date":"2022-07-21","ids":{"openalex":"https://openalex.org/W4286433578","doi":"https://doi.org/10.3390/rs14143504"},"language":"en","primary_location":{"id":"doi:10.3390/rs14143504","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14143504","pdf_url":"https://www.mdpi.com/2072-4292/14/14/3504/pdf?version=1660273598","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/14/3504/pdf?version=1660273598","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031386004","display_name":"Kai Fan","orcid":"https://orcid.org/0000-0001-8547-1992"},"institutions":[{"id":"https://openalex.org/I4210132539","display_name":"Northwest Institute of Mechanical and Electrical Engineering","ror":"https://ror.org/03pz37k82","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210132539"]},{"id":"https://openalex.org/I89652312","display_name":"Northwest A&F University","ror":"https://ror.org/0051rme32","country_code":"CN","type":"education","lineage":["https://openalex.org/I89652312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Fan","raw_affiliation_strings":["College of Natural Resources and Environment, Northwest A&F University, Xianyang 712100, China"],"affiliations":[{"raw_affiliation_string":"College of Natural Resources and Environment, Northwest A&F University, Xianyang 712100, China","institution_ids":["https://openalex.org/I4210132539","https://openalex.org/I89652312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066828743","display_name":"Fenling Li","orcid":"https://orcid.org/0000-0001-7327-8095"},"institutions":[{"id":"https://openalex.org/I4210132539","display_name":"Northwest Institute of Mechanical and Electrical Engineering","ror":"https://ror.org/03pz37k82","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210132539"]},{"id":"https://openalex.org/I89652312","display_name":"Northwest A&F University","ror":"https://ror.org/0051rme32","country_code":"CN","type":"education","lineage":["https://openalex.org/I89652312"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fenling Li","raw_affiliation_strings":["College of Natural Resources and Environment, Northwest A&F University, Xianyang 712100, China"],"affiliations":[{"raw_affiliation_string":"College of Natural Resources and Environment, Northwest A&F University, Xianyang 712100, China","institution_ids":["https://openalex.org/I4210132539","https://openalex.org/I89652312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101810406","display_name":"Xiaokai Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132539","display_name":"Northwest Institute of Mechanical and Electrical Engineering","ror":"https://ror.org/03pz37k82","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210132539"]},{"id":"https://openalex.org/I89652312","display_name":"Northwest A&F University","ror":"https://ror.org/0051rme32","country_code":"CN","type":"education","lineage":["https://openalex.org/I89652312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokai Chen","raw_affiliation_strings":["College of Natural Resources and Environment, Northwest A&F University, Xianyang 712100, China"],"affiliations":[{"raw_affiliation_string":"College of Natural Resources and Environment, Northwest A&F University, Xianyang 712100, China","institution_ids":["https://openalex.org/I4210132539","https://openalex.org/I89652312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107931211","display_name":"Zhenfa Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132539","display_name":"Northwest Institute of Mechanical and Electrical Engineering","ror":"https://ror.org/03pz37k82","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210132539"]},{"id":"https://openalex.org/I89652312","display_name":"Northwest A&F University","ror":"https://ror.org/0051rme32","country_code":"CN","type":"education","lineage":["https://openalex.org/I89652312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenfa Li","raw_affiliation_strings":["College of Natural Resources and Environment, Northwest A&F University, Xianyang 712100, China"],"affiliations":[{"raw_affiliation_string":"College of Natural Resources and Environment, Northwest A&F University, Xianyang 712100, China","institution_ids":["https://openalex.org/I4210132539","https://openalex.org/I89652312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074918860","display_name":"D. J. Mulla","orcid":"https://orcid.org/0000-0001-7040-5888"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Mulla","raw_affiliation_strings":["Department of Soil, Water and Climate, University of Minnesota, Saint Paul, MN 55108, USA"],"affiliations":[{"raw_affiliation_string":"Department of Soil, Water and Climate, University of Minnesota, Saint Paul, MN 55108, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066828743"],"corresponding_institution_ids":["https://openalex.org/I4210132539","https://openalex.org/I89652312"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":6.9601,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.97451592,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"14","issue":"14","first_page":"3504","last_page":"3504"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8929892778396606},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.6255403757095337},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.560283899307251},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.508861780166626},{"id":"https://openalex.org/keywords/winter-wheat","display_name":"Winter wheat","score":0.4497532248497009},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.445677250623703},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4331549406051636},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4092192053794861},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.32468608021736145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28576576709747314},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2633548974990845},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.21705910563468933},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.1293696165084839},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1075747013092041},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.09832838177680969}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8929892778396606},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.6255403757095337},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.560283899307251},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.508861780166626},{"id":"https://openalex.org/C3018661444","wikidata":"https://www.wikidata.org/wiki/Q6977574","display_name":"Winter wheat","level":2,"score":0.4497532248497009},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.445677250623703},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4331549406051636},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4092192053794861},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32468608021736145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28576576709747314},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2633548974990845},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.21705910563468933},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.1293696165084839},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1075747013092041},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.09832838177680969},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14143504","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14143504","pdf_url":"https://www.mdpi.com/2072-4292/14/14/3504/pdf?version=1660273598","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c0750a0c880f43c2a176395d8eebf477","is_oa":true,"landing_page_url":"https://doaj.org/article/c0750a0c880f43c2a176395d8eebf477","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 14, p 3504 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/14/3504/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14143504","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 14; Pages: 3504","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14143504","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14143504","pdf_url":"https://www.mdpi.com/2072-4292/14/14/3504/pdf?version=1660273598","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.7200000286102295,"display_name":"Zero hunger"}],"awards":[{"id":"https://openalex.org/G3150973917","display_name":null,"funder_award_id":"41701398","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5104633640","display_name":null,"funder_award_id":"2452017108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4286433578.pdf","grobid_xml":"https://content.openalex.org/works/W4286433578.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W578953693","https://openalex.org/W1906130215","https://openalex.org/W1974416151","https://openalex.org/W1978329109","https://openalex.org/W1978331315","https://openalex.org/W2001948755","https://openalex.org/W2008988680","https://openalex.org/W2019038438","https://openalex.org/W2056653209","https://openalex.org/W2062567499","https://openalex.org/W2068227628","https://openalex.org/W2068950233","https://openalex.org/W2072577852","https://openalex.org/W2073067249","https://openalex.org/W2073367262","https://openalex.org/W2079842406","https://openalex.org/W2103184761","https://openalex.org/W2109006150","https://openalex.org/W2111947859","https://openalex.org/W2129719999","https://openalex.org/W2165056977","https://openalex.org/W2202347831","https://openalex.org/W2290793889","https://openalex.org/W2324540353","https://openalex.org/W2353343204","https://openalex.org/W2477315922","https://openalex.org/W2521187042","https://openalex.org/W2580606579","https://openalex.org/W2751531175","https://openalex.org/W2782677653","https://openalex.org/W2784201940","https://openalex.org/W2884438462","https://openalex.org/W2889742210","https://openalex.org/W2900117694","https://openalex.org/W2937977191","https://openalex.org/W2938790543","https://openalex.org/W2948260860","https://openalex.org/W2948615590","https://openalex.org/W2967034793","https://openalex.org/W2970565305","https://openalex.org/W2973038154","https://openalex.org/W2989880742","https://openalex.org/W2998091425","https://openalex.org/W3000369451","https://openalex.org/W3015378561","https://openalex.org/W3084420614","https://openalex.org/W3092594717","https://openalex.org/W3095466685","https://openalex.org/W3123685232","https://openalex.org/W3147649380","https://openalex.org/W3153796798","https://openalex.org/W3155560054","https://openalex.org/W3163297349","https://openalex.org/W3163720131","https://openalex.org/W3168912374","https://openalex.org/W3184043720","https://openalex.org/W3206966913","https://openalex.org/W4200360302","https://openalex.org/W4205119804","https://openalex.org/W4206254883","https://openalex.org/W4241285984","https://openalex.org/W6721589845","https://openalex.org/W6756372495","https://openalex.org/W6761468035","https://openalex.org/W7009560286"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W2801661703"],"abstract_inverted_index":{"Nitrogen":[0],"balance":[1],"index":[2,183],"(NBI)":[3],"is":[4,25],"an":[5],"important":[6],"indicator":[7],"for":[8,27,298,306],"scientific":[9,296],"diagnostic":[10],"and":[11,20,63,83,95,102,116,159,226,257,304],"quantitative":[12],"research":[13],"on":[14,47,208,221,269],"crop":[15],"growth":[16,65,232,241],"status.":[17],"The":[18,35,143,162,180,203,243,264],"quick":[19],"accurate":[21],"assessment":[22],"of":[23,37,72,165,201,230,238,280,309],"NBI":[24,45,86,123,136,192,204,265,282],"necessary":[26],"farmers":[28],"to":[29,41,133],"make":[30],"timely":[31],"N":[32],"management":[33,308],"decisions.":[34],"objective":[36],"the":[38,61,91,110,135,147,152,155,160,166,172,188,194,209,222,227,239,252,270,274,281],"study":[39,144],"was":[40,234],"estimate":[42],"winter":[43,73,310],"wheat":[44,74],"based":[46,207,220,268],"canopy":[48,80,112],"hyperspectral":[49,81,131,224],"features":[50,132],"between":[51,154],"400\u20131350":[52],"nm":[53],"combined":[54,139,212],"with":[55,122,140,191,213,284],"machine":[56],"learning":[57],"(ML)":[58],"methods":[59],"in":[60,169,171,185,193,273],"individual":[62],"whole":[64,240],"stages.":[66,97],"In":[67],"this":[68],"study,":[69],"3":[70],"years":[71],"plot":[75],"experiments":[76],"were":[77,88,107,128,215],"conducted.":[78],"Ground-level":[79],"reflectance":[82],"corresponding":[84],"plant":[85],"values":[87],"measured":[89],"during":[90],"jointing,":[92],"booting,":[93],"flowering":[94],"filling":[96,195,275],"Continuous":[98],"removal":[99],"spectra":[100,105],"(CRS)":[101],"logarithmic":[103],"transformation":[104,149],"(LOGS)":[106],"derived":[108],"from":[109],"original":[111],"spectra.":[113],"Sensitive":[114],"bands":[115],"vegetation":[117],"indices":[118],"(VIs)":[119],"highly":[120],"correlated":[121],"under":[124],"different":[125],"spectral":[126,148],"transformations":[127],"selected":[129],"as":[130],"construct":[134],"estimation":[137,266],"models":[138],"ML":[141],"algorithms.":[142],"indicated":[145],"that":[146,237],"significantly":[150],"improved":[151],"correlation":[153,163,190,199],"sensitive":[156,167,210],"bands,":[157],"VIs":[158,214],"NBI.":[161],"coefficient":[164,200],"band":[168,211],"CRS":[170],"booting":[173],"stage":[174,233,276],"increased":[175],"by":[176],"27.87%,":[177],"reaching":[178,197],"\u22120.78.":[179],"leaf":[181],"chlorophyll":[182],"(LCI)":[184],"LOGS":[186],"had":[187],"highest":[189],"stage,":[196],"a":[198,295],"\u22120.96.":[202],"prediction":[205,228,286],"accuracies":[206],"generally":[216],"better":[217,235,250,299],"than":[218,236,251],"those":[219],"univariate":[223],"feature,":[225],"accuracy":[229],"each":[231],"stage.":[242],"random":[244],"forest":[245],"regression":[246,255,261],"(RFR)":[247],"method":[248,272],"performed":[249],"support":[253],"vector":[254],"(SVR)":[256],"partial":[258],"least":[259],"squares":[260],"(PLS)":[262],"methods.":[263],"model":[267],"LOGS-RFR":[271],"could":[277],"explain":[278],"95%":[279],"variability":[283],"relative":[285],"deviation":[287],"(RPD)":[288],"being":[289],"3.69.":[290],"These":[291],"results":[292],"will":[293],"provide":[294],"basis":[297],"nitrogen":[300],"nutrition":[301],"monitoring,":[302],"diagnosis,":[303],"later":[305],"field":[307],"wheat.":[311]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
