{"id":"https://openalex.org/W3038234978","doi":"https://doi.org/10.3390/rs12132140","title":"Early Identification of Seed Maize and Common Maize Production Fields Using Sentinel-2 Images","display_name":"Early Identification of Seed Maize and Common Maize Production Fields Using Sentinel-2 Images","publication_year":2020,"publication_date":"2020-07-03","ids":{"openalex":"https://openalex.org/W3038234978","doi":"https://doi.org/10.3390/rs12132140","mag":"3038234978"},"language":"en","primary_location":{"id":"doi:10.3390/rs12132140","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12132140","pdf_url":"https://www.mdpi.com/2072-4292/12/13/2140/pdf?version=1594017117","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/2072-4292/12/13/2140/pdf?version=1594017117","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003778522","display_name":"Tianwei Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianwei Ren","raw_affiliation_strings":["College of Land Science and Technology, China Agricultural University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Land Science and Technology, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462375","display_name":"Zhe Liu","orcid":"https://orcid.org/0000-0002-8214-8345"},"institutions":[{"id":"https://openalex.org/I4210151987","display_name":"Ministry of Agriculture and Rural Affairs","ror":"https://ror.org/05ckt8b96","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhe Liu","raw_affiliation_strings":["College of Land Science and Technology, China Agricultural University, Beijing 100083, China","Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Land Science and Technology, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, China","institution_ids":["https://openalex.org/I4210151987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351974","display_name":"Lin Zhang","orcid":"https://orcid.org/0009-0003-8329-3143"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhang","raw_affiliation_strings":["College of Land Science and Technology, China Agricultural University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Land Science and Technology, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055443620","display_name":"Diyou Liu","orcid":"https://orcid.org/0000-0002-7025-2137"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Diyou Liu","raw_affiliation_strings":["College of Land Science and Technology, China Agricultural University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Land Science and Technology, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002289571","display_name":"Xiaojie Xi","orcid":"https://orcid.org/0000-0001-9593-8058"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojie Xi","raw_affiliation_strings":["College of Land Science and Technology, China Agricultural University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Land Science and Technology, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016906302","display_name":"Yanghui Kang","orcid":"https://orcid.org/0000-0001-8563-1503"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanghui Kang","raw_affiliation_strings":["Department of Geography, University of Wisconsin-Madison, 550 N. Park St., Madison, WI 53706, USA","Nelson Institute Center for Sustainability and the Global Environment, University of Wisconsin-Madison, 1710 University Avenue, Madison, WI 53726, USA"],"affiliations":[{"raw_affiliation_string":"Department of Geography, University of Wisconsin-Madison, 550 N. Park St., Madison, WI 53706, USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"Nelson Institute Center for Sustainability and the Global Environment, University of Wisconsin-Madison, 1710 University Avenue, Madison, WI 53726, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101625788","display_name":"Yuanyuan Zhao","orcid":"https://orcid.org/0000-0001-5447-2861"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]},{"id":"https://openalex.org/I4210151987","display_name":"Ministry of Agriculture and Rural Affairs","ror":"https://ror.org/05ckt8b96","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Zhao","raw_affiliation_strings":["College of Land Science and Technology, China Agricultural University, Beijing 100083, China","Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Land Science and Technology, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, China","institution_ids":["https://openalex.org/I4210151987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740673","display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0001-7327-9477"},"institutions":[{"id":"https://openalex.org/I4210151987","display_name":"Ministry of Agriculture and Rural Affairs","ror":"https://ror.org/05ckt8b96","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["College of Land Science and Technology, China Agricultural University, Beijing 100083, China","Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Land Science and Technology, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, China","institution_ids":["https://openalex.org/I4210151987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058413405","display_name":"Shaoming Li","orcid":"https://orcid.org/0000-0002-4915-9958"},"institutions":[{"id":"https://openalex.org/I4210151987","display_name":"Ministry of Agriculture and Rural Affairs","ror":"https://ror.org/05ckt8b96","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoming Li","raw_affiliation_strings":["College of Land Science and Technology, China Agricultural University, Beijing 100083, China","Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Land Science and Technology, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, China","institution_ids":["https://openalex.org/I4210151987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100376176","display_name":"Xiaodong Zhang","orcid":"https://orcid.org/0009-0007-2490-3115"},"institutions":[{"id":"https://openalex.org/I4210151987","display_name":"Ministry of Agriculture and Rural Affairs","ror":"https://ror.org/05ckt8b96","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Zhang","raw_affiliation_strings":["College of Land Science and Technology, China Agricultural University, Beijing 100083, China","Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Land Science and Technology, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, China","institution_ids":["https://openalex.org/I4210151987"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5100462375"],"corresponding_institution_ids":["https://openalex.org/I4210151987","https://openalex.org/I52158045"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":4.2621,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.944905,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"12","issue":"13","first_page":"2140","last_page":"2140"},"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10616","display_name":"Smart Agriculture and AI","score":0.9871000051498413,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/phenology","display_name":"Phenology","score":0.6033114194869995},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5700887441635132},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5126122832298279},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47595712542533875},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.46466055512428284},{"id":"https://openalex.org/keywords/sowing","display_name":"Sowing","score":0.46267837285995483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4412819445133209},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.42827892303466797},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.17954376339912415},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14261135458946228}],"concepts":[{"id":"https://openalex.org/C51417038","wikidata":"https://www.wikidata.org/wiki/Q272737","display_name":"Phenology","level":2,"score":0.6033114194869995},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5700887441635132},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5126122832298279},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47595712542533875},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.46466055512428284},{"id":"https://openalex.org/C168741863","wikidata":"https://www.wikidata.org/wiki/Q777671","display_name":"Sowing","level":2,"score":0.46267837285995483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4412819445133209},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.42827892303466797},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.17954376339912415},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14261135458946228},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs12132140","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12132140","pdf_url":"https://www.mdpi.com/2072-4292/12/13/2140/pdf?version=1594017117","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:c0edf2a5f6b74d2e86b9a5bb47ce5855","is_oa":true,"landing_page_url":"https://doaj.org/article/c0edf2a5f6b74d2e86b9a5bb47ce5855","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 12, Iss 13, p 2140 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/13/2140/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12132140","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 12; Issue 13; Pages: 2140","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12132140","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12132140","pdf_url":"https://www.mdpi.com/2072-4292/12/13/2140/pdf?version=1594017117","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":[],"awards":[{"id":"https://openalex.org/G3659603099","display_name":null,"funder_award_id":"2018YFD0100800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3038234978.pdf","grobid_xml":"https://content.openalex.org/works/W3038234978.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W973044666","https://openalex.org/W1964217023","https://openalex.org/W1998281138","https://openalex.org/W2000613913","https://openalex.org/W2029342456","https://openalex.org/W2040895929","https://openalex.org/W2054072438","https://openalex.org/W2056352756","https://openalex.org/W2062321700","https://openalex.org/W2064675550","https://openalex.org/W2068094410","https://openalex.org/W2076063813","https://openalex.org/W2077509829","https://openalex.org/W2089441588","https://openalex.org/W2091921805","https://openalex.org/W2167787089","https://openalex.org/W2307094448","https://openalex.org/W2354237662","https://openalex.org/W2604086375","https://openalex.org/W2751914929","https://openalex.org/W2756543213","https://openalex.org/W2768533897","https://openalex.org/W2791592925","https://openalex.org/W2801333305","https://openalex.org/W2803114652","https://openalex.org/W2906799152","https://openalex.org/W2909177355","https://openalex.org/W2909543378","https://openalex.org/W2911964244","https://openalex.org/W2940542567","https://openalex.org/W2955639914","https://openalex.org/W2959673144","https://openalex.org/W2961532556","https://openalex.org/W2974499698","https://openalex.org/W2988471827","https://openalex.org/W2988576146","https://openalex.org/W2997968314","https://openalex.org/W3001516132","https://openalex.org/W3005428246","https://openalex.org/W3028441658","https://openalex.org/W3096156311","https://openalex.org/W4239510810","https://openalex.org/W6625579063","https://openalex.org/W6637568146","https://openalex.org/W7005953932","https://openalex.org/W7014317915","https://openalex.org/W7024837488"],"related_works":["https://openalex.org/W2382423801","https://openalex.org/W2361404876","https://openalex.org/W2372348061","https://openalex.org/W2351979363","https://openalex.org/W3178516037","https://openalex.org/W2392295380","https://openalex.org/W2370438650","https://openalex.org/W3045348154","https://openalex.org/W2385623625","https://openalex.org/W2028911743"],"abstract_inverted_index":{"Accurate":[0],"and":[1,15,24,93,116,119,139,163,182,200,220,225,243,265,329],"timely":[2],"access":[3],"to":[4,19,45,60,100,196,275],"the":[5,12,38,71,83,125,141,150,156,198,208,211,216,228,240,244,248,254,267,288,299,323,326,332,342,349,376,386],"production":[6,27,64,373],"area":[7],"of":[8,78,86,108,127,135,158,218,230,251,282,325,334,344,370,385],"crop":[9,345,351],"seeds":[10],"allows":[11],"seed":[13,17,62,128,232,255,283,371,387],"market":[14],"secure":[16],"supply":[18,388],"be":[20,236],"monitored.":[21],"Seed":[22],"maize":[23,26,63,129,233,284,372],"common":[25],"fields":[28,48,65,285,346,374],"typically":[29],"share":[30],"similar":[31],"phenological":[32],"development":[33],"profiles":[34],"with":[35,207,348],"differences":[36],"in":[37,70,82,239,287],"planting":[39,354],"patterns,":[40],"which":[41,379],"makes":[42],"it":[43],"challenging":[44],"separate":[46],"these":[47],"from":[49,98,194,273,317],"decametric-resolution":[50],"satellite":[51],"images.":[52,359],"In":[53,214],"this":[54,364],"research,":[55],"we":[56,291],"proposed":[57,362],"a":[58,75],"method":[59],"identify":[61],"as":[66,68],"early":[67,286],"possible":[69],"growing":[72,289,377],"season":[73,301,327],"using":[74,131,191,259,271,302,313,356],"time":[76,133,137,143,152,368],"series":[77,134,153],"remote":[79,357],"sensing":[80,358],"images":[81,96,193,261,272],"Liangzhou":[84],"district":[85],"Gansu":[87],"province,":[88],"China.":[89],"We":[90,123],"collected":[91],"Sentinel-2":[92,132,192],"GaoFen-1":[94],"(GF-1)":[95],"captured":[97],"March":[99,195,274],"September.":[101],"The":[102,187,257,310,360],"feature":[103],"space":[104],"for":[105,145,253,298],"classification":[106,147,177,258,311,343],"consists":[107],"four":[109],"original":[110],"bands,":[111],"namely":[112],"red,":[113],"green,":[114],"blue,":[115],"near-infrared":[117],"(nir),":[118],"eight":[120],"vegetation":[121],"indexes.":[122],"analyzed":[124],"timeliness":[126],"identification":[130,281,369],"different":[136,353],"spans":[138],"identified":[140],"earliest":[142,151],"frame":[144],"reasonable":[146],"accuracy.":[148],"Then,":[149],"that":[154,190],"met":[155],"requirements":[157,250],"regulatory":[159],"accuracy":[160,217,268,312],"were":[161,169,262],"compared":[162],"analyzed.":[164],"Four":[165],"machine/deep":[166],"learning":[167],"algorithms":[168,202],"tested,":[170],"including":[171],"K-nearest":[172],"neighbor":[173],"(KNN),":[174],"support":[175,382],"vector":[176],"(SVC),":[178],"random":[179],"forest":[180],"(RF),":[181],"long":[183],"short-term":[184],"memory":[185],"(LSTM).":[186],"results":[188],"showed":[189],"June,":[197,231],"RF":[199],"LSTM":[201,209],"achieve":[203,278],"over":[204],"88%":[205],"accuracy,":[206],"performing":[210],"best":[212],"(90%).":[213],"contrast,":[215],"KNN":[219],"SVC":[221],"was":[222,269],"between":[223],"82%":[224],"86%.":[226],"At":[227],"end":[229,324,333],"mapping":[234,319],"can":[235,246],"carried":[237],"out":[238],"experimental":[241],"area,":[242],"precision":[245],"meet":[247],"basic":[249],"monitoring":[252,384],"industry.":[256,389],"GF-1":[260],"less":[263],"accurate":[264],"reliable;":[266],"85%":[270],"June.":[276],"To":[277],"near":[279],"real-time":[280],"season,":[290,378],"adopted":[292],"an":[293],"automated":[294],"sample":[295],"generation":[296],"approach":[297,361],"current":[300],"only":[303],"historical":[304,318],"samples":[305,315],"based":[306],"on":[307],"clustering":[308],"analysis.":[309],"new":[314],"extracted":[316],"reached":[320],"74%":[321],"by":[322,331,363],"(September)":[328],"63%":[330],"July.":[335],"This":[336],"research":[337],"provides":[338],"important":[339],"insights":[340],"into":[341],"cultivated":[347],"same":[350],"but":[352],"patterns":[355],"study":[365],"enables":[366],"near-real":[367],"within":[375],"could":[380],"effectively":[381],"large-scale":[383]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}