{"id":"https://openalex.org/W4401891980","doi":"https://doi.org/10.3390/rs16173132","title":"Local Field-Scale Winter Wheat Yield Prediction Using VEN\u00b5S Satellite Imagery and Machine Learning Techniques","display_name":"Local Field-Scale Winter Wheat Yield Prediction Using VEN\u00b5S Satellite Imagery and Machine Learning Techniques","publication_year":2024,"publication_date":"2024-08-25","ids":{"openalex":"https://openalex.org/W4401891980","doi":"https://doi.org/10.3390/rs16173132"},"language":"en","primary_location":{"id":"doi:10.3390/rs16173132","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16173132","pdf_url":"https://www.mdpi.com/2072-4292/16/17/3132/pdf?version=1724569739","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/2072-4292/16/17/3132/pdf?version=1724569739","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112907860","display_name":"Marco Spencer Chiu","orcid":null},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Marco Spencer Chiu","raw_affiliation_strings":["Department of Geography and Environment, The University of Western Ontario, London, ON N6G 3K7, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Geography and Environment, The University of Western Ontario, London, ON N6G 3K7, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006022882","display_name":"Jinfei Wang","orcid":"https://orcid.org/0000-0002-8404-0530"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jinfei Wang","raw_affiliation_strings":["Department of Geography and Environment, The University of Western Ontario, London, ON N6G 3K7, Canada","The Institute for Earth and Space Exploration, The University of Western Ontario, London, ON N6A 3K7, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Geography and Environment, The University of Western Ontario, London, ON N6G 3K7, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"The Institute for Earth and Space Exploration, The University of Western Ontario, London, ON N6A 3K7, Canada","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112907860"],"corresponding_institution_ids":["https://openalex.org/I125749732"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.4591,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69894131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"16","issue":"17","first_page":"3132","last_page":"3132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9930999875068665,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6463037133216858},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5119844079017639},{"id":"https://openalex.org/keywords/yield","display_name":"Yield (engineering)","score":0.5111761689186096},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5085159540176392},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4973287880420685},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4960270822048187},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.49346768856048584},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4891993999481201},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.48124003410339355},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.47610458731651306},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46901363134384155},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4607594609260559},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.4139573574066162},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.3381595313549042},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2897670269012451},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24402892589569092},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.15955409407615662},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13931173086166382}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6463037133216858},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5119844079017639},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.5111761689186096},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5085159540176392},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4973287880420685},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4960270822048187},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.49346768856048584},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4891993999481201},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.48124003410339355},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.47610458731651306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46901363134384155},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4607594609260559},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.4139573574066162},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.3381595313549042},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2897670269012451},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24402892589569092},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.15955409407615662},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13931173086166382},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs16173132","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16173132","pdf_url":"https://www.mdpi.com/2072-4292/16/17/3132/pdf?version=1724569739","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:51d1cbb7ed6f4a3983e113dd72e84396","is_oa":true,"landing_page_url":"https://doaj.org/article/51d1cbb7ed6f4a3983e113dd72e84396","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 16, Iss 17, p 3132 (2024)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/16/17/3132/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs16173132","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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs16173132","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16173132","pdf_url":"https://www.mdpi.com/2072-4292/16/17/3132/pdf?version=1724569739","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":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G1597412403","display_name":null,"funder_award_id":"RGPIN-","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G2165548363","display_name":null,"funder_award_id":"Canada","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G6221715925","display_name":null,"funder_award_id":"RGPIN","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G6821739974","display_name":null,"funder_award_id":"RGPIN-2022-05051","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G8105784103","display_name":null,"funder_award_id":"RGPIN-202","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G8284766523","display_name":null,"funder_award_id":"(NSERC)","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401891980.pdf","grobid_xml":"https://content.openalex.org/works/W4401891980.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1485678107","https://openalex.org/W1964217023","https://openalex.org/W1965106709","https://openalex.org/W1978031948","https://openalex.org/W2000102737","https://openalex.org/W2012686349","https://openalex.org/W2025967407","https://openalex.org/W2039604550","https://openalex.org/W2083004692","https://openalex.org/W2086212292","https://openalex.org/W2089441588","https://openalex.org/W2094273004","https://openalex.org/W2111947859","https://openalex.org/W2113410727","https://openalex.org/W2118921056","https://openalex.org/W2137608957","https://openalex.org/W2153635508","https://openalex.org/W2171979590","https://openalex.org/W2176140983","https://openalex.org/W2504959750","https://openalex.org/W2805142011","https://openalex.org/W2898710507","https://openalex.org/W2901204851","https://openalex.org/W2904875053","https://openalex.org/W2971231346","https://openalex.org/W2971456001","https://openalex.org/W2971480543","https://openalex.org/W2989983865","https://openalex.org/W2999658315","https://openalex.org/W3005430388","https://openalex.org/W3006645913","https://openalex.org/W3012717404","https://openalex.org/W3016260808","https://openalex.org/W3039531289","https://openalex.org/W3079760979","https://openalex.org/W3109695596","https://openalex.org/W3152850404","https://openalex.org/W3188181112","https://openalex.org/W4200085462","https://openalex.org/W4221029042","https://openalex.org/W4292506054","https://openalex.org/W4313570468","https://openalex.org/W6636950212","https://openalex.org/W6775604329"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W2124951708","https://openalex.org/W1544811710","https://openalex.org/W172072032","https://openalex.org/W4396689146","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W2004826645"],"abstract_inverted_index":{"Reliable":[0],"and":[1,38,49,68,137,156],"accurate":[2,110,130],"crop":[3],"yield":[4,48,52,101,189],"prediction":[5,53,131],"at":[6],"the":[7,14,26,74,108,114,128,149,165,174],"field":[8,57],"scale":[9],"is":[10],"critical":[11],"for":[12,17,55,173,187],"meeting":[13],"global":[15],"demand":[16],"reliable":[18],"food":[19],"sources.":[20],"In":[21],"this":[22],"study,":[23],"we":[24],"tested":[25],"viability":[27],"of":[28,135,140,171],"VEN\u03bcS":[29,94],"satellite":[30,42],"data":[31,43,144],"as":[32,185],"an":[33,133,138],"alternative":[34],"to":[35,44,105,148],"other":[36],"popular":[37],"publicly":[39],"available":[40],"multispectral":[41],"predict":[45,98],"winter":[46,99],"wheat":[47,100],"produce":[50],"a":[51,56],"map":[54],"located":[58],"in":[59,63,169],"southwestern":[60],"Ontario,":[61],"Canada,":[62],"2020.":[64],"Random":[65],"forest":[66],"(RF)":[67],"support":[69],"vector":[70],"regression":[71],"(SVR)":[72],"were":[73,124,162],"two":[75],"machine":[76,84,121],"learning":[77,85,122],"techniques":[78],"employed.":[79],"Our":[80],"results":[81],"indicate":[82],"that":[83],"models":[86],"paired":[87],"with":[88,107,132],"vegetation":[89],"indices":[90],"(VIs)":[91],"derived":[92],"from":[93,146,158],"imagery":[95],"can":[96],"accurately":[97],"1~2":[102],"months":[103],"prior":[104],"harvest,":[106],"most":[109,129],"predictions":[111],"achieved":[112],"during":[113],"early":[115,150],"fruit":[116,151],"development":[117,152],"stage.":[118,153],"While":[119],"both":[120],"approaches":[123],"viable,":[125],"SVR":[126],"produced":[127],"R2":[134],"0.86":[136],"RMSE":[139],"0.3925":[141],"t/ha":[142],"using":[143,182],"collected":[145],"tillering":[147],"NDRE-1,":[154],"NDRE-2,":[155],"REP":[157],"various":[159],"growth":[160],"stages":[161],"ranked":[163],"among":[164],"top":[166],"seven":[167],"variables":[168],"terms":[170],"importance":[172],"prediction.":[175],"These":[176],"findings":[177],"provide":[178],"valuable":[179],"insights":[180],"into":[181],"high-resolution":[183],"satellites":[184],"tools":[186],"non-destructive":[188],"potential":[190],"analysis.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2024-08-27T00:00:00"}