{"id":"https://openalex.org/W4384067702","doi":"https://doi.org/10.3390/rs15143483","title":"A Prediction Model of Maize Field Yield Based on the Fusion of Multitemporal and Multimodal UAV Data: A Case Study in Northeast China","display_name":"A Prediction Model of Maize Field Yield Based on the Fusion of Multitemporal and Multimodal UAV Data: A Case Study in Northeast China","publication_year":2023,"publication_date":"2023-07-11","ids":{"openalex":"https://openalex.org/W4384067702","doi":"https://doi.org/10.3390/rs15143483"},"language":"en","primary_location":{"id":"doi:10.3390/rs15143483","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15143483","pdf_url":"https://www.mdpi.com/2072-4292/15/14/3483/pdf?version=1689057057","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/2072-4292/15/14/3483/pdf?version=1689057057","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064446786","display_name":"Wenqi Zhou","orcid":"https://orcid.org/0009-0006-3065-3602"},"institutions":[{"id":"https://openalex.org/I169572211","display_name":"Northeast Agricultural University","ror":"https://ror.org/0515nd386","country_code":"CN","type":"education","lineage":["https://openalex.org/I169572211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqi Zhou","raw_affiliation_strings":["College of Engineering, Northeast Agricultural University, Harbin 150030, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Northeast Agricultural University, Harbin 150030, China","institution_ids":["https://openalex.org/I169572211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024654765","display_name":"Chao Song","orcid":"https://orcid.org/0000-0002-0052-5267"},"institutions":[{"id":"https://openalex.org/I169572211","display_name":"Northeast Agricultural University","ror":"https://ror.org/0515nd386","country_code":"CN","type":"education","lineage":["https://openalex.org/I169572211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Song","raw_affiliation_strings":["College of Engineering, Northeast Agricultural University, Harbin 150030, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Northeast Agricultural University, Harbin 150030, China","institution_ids":["https://openalex.org/I169572211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072474076","display_name":"Cunliang Liu","orcid":"https://orcid.org/0000-0001-7516-0234"},"institutions":[{"id":"https://openalex.org/I169572211","display_name":"Northeast Agricultural University","ror":"https://ror.org/0515nd386","country_code":"CN","type":"education","lineage":["https://openalex.org/I169572211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cunliang Liu","raw_affiliation_strings":["College of Engineering, Northeast Agricultural University, Harbin 150030, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Northeast Agricultural University, Harbin 150030, China","institution_ids":["https://openalex.org/I169572211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065153972","display_name":"Qiang Fu","orcid":"https://orcid.org/0000-0003-4100-2777"},"institutions":[{"id":"https://openalex.org/I169572211","display_name":"Northeast Agricultural University","ror":"https://ror.org/0515nd386","country_code":"CN","type":"education","lineage":["https://openalex.org/I169572211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Fu","raw_affiliation_strings":["School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, China"],"affiliations":[{"raw_affiliation_string":"School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, China","institution_ids":["https://openalex.org/I169572211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068900604","display_name":"Tianhao An","orcid":null},"institutions":[{"id":"https://openalex.org/I169572211","display_name":"Northeast Agricultural University","ror":"https://ror.org/0515nd386","country_code":"CN","type":"education","lineage":["https://openalex.org/I169572211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianhao An","raw_affiliation_strings":["College of Engineering, Northeast Agricultural University, Harbin 150030, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Northeast Agricultural University, Harbin 150030, China","institution_ids":["https://openalex.org/I169572211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084769890","display_name":"Yijia Wang","orcid":"https://orcid.org/0000-0001-9834-8854"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yijia Wang","raw_affiliation_strings":["Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, LG-108, Composite Building, Pokfulam Road, Hong Kong 999077, China"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, LG-108, Composite Building, Pokfulam Road, Hong Kong 999077, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061825293","display_name":"Xiaobo Sun","orcid":"https://orcid.org/0000-0003-0938-412X"},"institutions":[{"id":"https://openalex.org/I169572211","display_name":"Northeast Agricultural University","ror":"https://ror.org/0515nd386","country_code":"CN","type":"education","lineage":["https://openalex.org/I169572211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Sun","raw_affiliation_strings":["College of Engineering, Northeast Agricultural University, Harbin 150030, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Northeast Agricultural University, Harbin 150030, China","institution_ids":["https://openalex.org/I169572211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036626848","display_name":"Nuan Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I169572211","display_name":"Northeast Agricultural University","ror":"https://ror.org/0515nd386","country_code":"CN","type":"education","lineage":["https://openalex.org/I169572211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nuan Wen","raw_affiliation_strings":["College of Engineering, Northeast Agricultural University, Harbin 150030, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Northeast Agricultural University, Harbin 150030, China","institution_ids":["https://openalex.org/I169572211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058078282","display_name":"Han Tang","orcid":"https://orcid.org/0000-0001-6183-3899"},"institutions":[{"id":"https://openalex.org/I169572211","display_name":"Northeast Agricultural University","ror":"https://ror.org/0515nd386","country_code":"CN","type":"education","lineage":["https://openalex.org/I169572211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Tang","raw_affiliation_strings":["College of Engineering, Northeast Agricultural University, Harbin 150030, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Northeast Agricultural University, Harbin 150030, China","institution_ids":["https://openalex.org/I169572211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100341232","display_name":"Qi Wang","orcid":"https://orcid.org/0000-0001-8972-4758"},"institutions":[{"id":"https://openalex.org/I169572211","display_name":"Northeast Agricultural University","ror":"https://ror.org/0515nd386","country_code":"CN","type":"education","lineage":["https://openalex.org/I169572211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Wang","raw_affiliation_strings":["College of Engineering, Northeast Agricultural University, Harbin 150030, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Northeast Agricultural University, Harbin 150030, China","institution_ids":["https://openalex.org/I169572211"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5084769890"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":6.0579,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.96597716,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"15","issue":"14","first_page":"3483","last_page":"3483"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9976999759674072,"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":0.9976999759674072,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9843999743461609,"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":0.9623000025749207,"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/remote-sensing","display_name":"Remote sensing","score":0.6700202822685242},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.5958294868469238},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5419216752052307},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5374425649642944},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5216820240020752},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46616464853286743},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4562910199165344},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.44755154848098755},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.44724079966545105},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4416751265525818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3253490924835205},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.29222947359085083},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19087126851081848},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15234440565109253},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14830997586250305},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09553414583206177},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.08362641930580139}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6700202822685242},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.5958294868469238},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5419216752052307},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5374425649642944},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5216820240020752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46616464853286743},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4562910199165344},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.44755154848098755},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.44724079966545105},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4416751265525818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3253490924835205},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.29222947359085083},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19087126851081848},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15234440565109253},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14830997586250305},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09553414583206177},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.08362641930580139},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15143483","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15143483","pdf_url":"https://www.mdpi.com/2072-4292/15/14/3483/pdf?version=1689057057","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:5d198987003e4dafba772930604d0316","is_oa":true,"landing_page_url":"https://doaj.org/article/5d198987003e4dafba772930604d0316","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 15, Iss 14, p 3483 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/14/3483/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15143483","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 15; Issue 14; Pages: 3483","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15143483","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15143483","pdf_url":"https://www.mdpi.com/2072-4292/15/14/3483/pdf?version=1689057057","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/G1129534736","display_name":null,"funder_award_id":"NEAU2023QNLJ-018","funder_id":"https://openalex.org/F4320325186","funder_display_name":"Northeast Agricultural University"},{"id":"https://openalex.org/G4405604052","display_name":null,"funder_award_id":"No. YQ2022E004","funder_id":"https://openalex.org/F4320323085","funder_display_name":"Natural Science Foundation of Heilongjiang Province"},{"id":"https://openalex.org/G5580221968","display_name":null,"funder_award_id":"No. 2022YFD2001401-02","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5727586631","display_name":null,"funder_award_id":"No. LBH-TZ2211","funder_id":"https://openalex.org/F4320322295","funder_display_name":"Postdoctoral Foundation of Hei Long Jiang Province"},{"id":"https://openalex.org/G586040591","display_name":null,"funder_award_id":"LBH-TZ2211","funder_id":"https://openalex.org/F4320322295","funder_display_name":"Postdoctoral Foundation of Hei Long Jiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322295","display_name":"Postdoctoral Foundation of Hei Long Jiang Province","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null},{"id":"https://openalex.org/F4320325186","display_name":"Northeast Agricultural University","ror":"https://ror.org/0515nd386"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4384067702.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1812582463","https://openalex.org/W1827322724","https://openalex.org/W1978788419","https://openalex.org/W2010806274","https://openalex.org/W2364902821","https://openalex.org/W2586216468","https://openalex.org/W2612511191","https://openalex.org/W2613366256","https://openalex.org/W2624387057","https://openalex.org/W2646675373","https://openalex.org/W2774824407","https://openalex.org/W2888549875","https://openalex.org/W2898710507","https://openalex.org/W2907738775","https://openalex.org/W2996041315","https://openalex.org/W2997159717","https://openalex.org/W2998620301","https://openalex.org/W3040221110","https://openalex.org/W3079760979","https://openalex.org/W3128764679","https://openalex.org/W3132993087","https://openalex.org/W3135366015","https://openalex.org/W3146049777","https://openalex.org/W3150095517","https://openalex.org/W3185878560","https://openalex.org/W3186111258","https://openalex.org/W3198376164","https://openalex.org/W3215039669","https://openalex.org/W4200263498","https://openalex.org/W4220653303","https://openalex.org/W4283074335","https://openalex.org/W4283792355","https://openalex.org/W4289653753","https://openalex.org/W4308493776","https://openalex.org/W4313467102","https://openalex.org/W4318819725","https://openalex.org/W4320522363","https://openalex.org/W4323928488","https://openalex.org/W4362721338","https://openalex.org/W4362730180","https://openalex.org/W4367850923","https://openalex.org/W4376312640","https://openalex.org/W4376870802","https://openalex.org/W6851559838","https://openalex.org/W6851641286","https://openalex.org/W6852770215"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W4318664220","https://openalex.org/W3188333020","https://openalex.org/W4281783339","https://openalex.org/W2771047279","https://openalex.org/W1964041166"],"abstract_inverted_index":{"The":[0,114,216,286],"prediction":[1,41,67,80,249,295],"of":[2,65,150,156,163,169,194,227,232,243,256,324,347],"crop":[3,121,337],"yield":[4,40,66,79,218,248,338,346],"plays":[5],"a":[6,76,331],"crucial":[7],"role":[8],"in":[9,61,190,199,205,246],"national":[10],"economic":[11],"development,":[12],"encompassing":[13],"grain":[14,18],"storage,":[15],"processing,":[16],"and":[17,29,38,55,101,104,124,141,178,203,229,239,275,339],"price":[19],"trends.":[20],"Employing":[21],"multiple":[22],"sensors":[23,107],"to":[24,252,279,298],"acquire":[25],"remote":[26,52,95],"sensing":[27,53,96],"data":[28,54,97,118,187,213,245],"utilizing":[30],"machine":[31,57,261,273],"learning":[32,58,262],"algorithms":[33],"can":[34],"enable":[35],"accurate,":[36],"fast,":[37],"nondestructive":[39],"for":[42,146,188,313,334,343],"maize":[43,78,336],"crops.":[44,349],"However,":[45],"current":[46],"research":[47,238],"heavily":[48],"relies":[49],"on":[50,109],"single-type":[51],"traditional":[56],"methods,":[59],"resulting":[60,217],"the":[62,83,120,126,147,151,157,160,164,170,173,179,191,195,200,206,241,254,257,280,299,303,307,310,322,325,345],"limited":[63],"robustness":[64,323],"models.":[68,250],"To":[69],"address":[70],"these":[71],"limitations,":[72],"this":[73],"study":[74,308,329],"introduces":[75,330],"field-scale":[77],"model":[81,115,282],"named":[82],"convolutional":[84],"neural":[85],"network\u2013attention\u2013long":[86],"short-term":[87],"memory":[88],"network":[89],"(CNN-attention-LSTM)":[90],"model,":[91,259],"which":[92],"utilizes":[93],"multimodal":[94,244],"collected":[98],"by":[99,210],"multispectral":[100],"light":[102],"detection":[103],"ranging":[105],"(LIDAR)":[106],"mounted":[108],"unmanned":[110],"aerial":[111],"vehicles":[112],"(UAVs).":[113],"incorporates":[116],"meteorological":[117,212],"throughout":[119],"reproductive":[122,174],"stages":[123],"employs":[125],"normalized":[127,132],"difference":[128,133],"vegetation":[129,138,143],"index":[130,139,144],"(NDVI),":[131],"red":[134],"edge":[135],"(NDRE),":[136],"soil-adjusted":[137],"(SAVI),":[140],"enhanced":[142],"(EVI)":[145],"initial":[148],"part":[149,155,162,168,193],"vegetative":[152,165],"stage":[153,166,175,181],"(initial":[154],"V":[158,171,196],"period),":[159,172,177,183],"later":[161,192],"(later":[167],"(R":[176],"maturity":[180],"(M":[182],"along":[184],"with":[185,223],"LIDAR":[186],"Point75\u2013100":[189],"period,":[197,202,208],"Point80\u2013100":[198],"R":[201],"Point50\u2013100":[204],"M":[207],"complemented":[209],"corresponding":[211],"as":[214],"inputs.":[215],"estimation":[219],"demonstrates":[220],"exceptional":[221],"performance,":[222],"an":[224,230],"R2":[225,311],"value":[226],"0.78":[228],"rRMSE":[231],"8.27%.":[233],"These":[234],"results":[235],"surpass":[236],"previous":[237],"validate":[240],"effectiveness":[242],"enhancing":[247],"Furthermore,":[251],"assess":[253],"superiority":[255],"proposed":[258,326],"four":[260],"algorithms\u2014multiple":[263],"linear":[264],"regression":[265,269],"(MLR),":[266],"random":[267],"forest":[268],"(RF),":[270],"support":[271],"vector":[272],"(SVM),":[274],"backpropagation":[276],"(BP)\u2014are":[277],"compared":[278,297],"CNN-attention-LSTM":[281,300],"through":[283],"experimental":[284],"analysis.":[285],"outcomes":[287],"indicate":[288],"that":[289],"all":[290],"alternative":[291],"models":[292],"exhibit":[293],"inferior":[294],"accuracy":[296],"model.":[301,327],"Across":[302],"test":[304],"dataset":[305],"within":[306],"area,":[309],"values":[312],"various":[314],"nitrogen":[315],"fertilizer":[316],"levels":[317],"consistently":[318],"exceed":[319],"0.75,":[320],"illustrating":[321],"This":[328],"novel":[332],"approach":[333],"assessing":[335],"provides":[340],"valuable":[341],"insights":[342],"estimating":[344],"other":[348]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":9}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2023-07-13T00:00:00"}
