{"id":"https://openalex.org/W4367623754","doi":"https://doi.org/10.3390/rs15092374","title":"Rapid Rice Yield Estimation Using Integrated Remote Sensing and Meteorological Data and Machine Learning","display_name":"Rapid Rice Yield Estimation Using Integrated Remote Sensing and Meteorological Data and Machine Learning","publication_year":2023,"publication_date":"2023-04-30","ids":{"openalex":"https://openalex.org/W4367623754","doi":"https://doi.org/10.3390/rs15092374"},"language":"en","primary_location":{"id":"doi:10.3390/rs15092374","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15092374","pdf_url":"https://www.mdpi.com/2072-4292/15/9/2374/pdf?version=1682850911","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/2072-4292/15/9/2374/pdf?version=1682850911","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087608827","display_name":"Md Didarul Islam","orcid":null},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Didarul Islam","raw_affiliation_strings":["Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012116347","display_name":"Liping Di","orcid":"https://orcid.org/0000-0002-3953-9965"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Liping Di","raw_affiliation_strings":["Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110709261","display_name":"Faisal Mueen Qamer","orcid":null},"institutions":[{"id":"https://openalex.org/I110210549","display_name":"International Centre for Integrated Mountain Development","ror":"https://ror.org/024brep87","country_code":"NP","type":"nonprofit","lineage":["https://openalex.org/I110210549"]}],"countries":["NP"],"is_corresponding":false,"raw_author_name":"Faisal Mueen Qamer","raw_affiliation_strings":["International Center for Integrated Mountain Development, Lalitpur 44700, Nepal"],"affiliations":[{"raw_affiliation_string":"International Center for Integrated Mountain Development, Lalitpur 44700, Nepal","institution_ids":["https://openalex.org/I110210549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022904964","display_name":"Sravan Shrestha","orcid":"https://orcid.org/0000-0001-6979-1726"},"institutions":[{"id":"https://openalex.org/I110210549","display_name":"International Centre for Integrated Mountain Development","ror":"https://ror.org/024brep87","country_code":"NP","type":"nonprofit","lineage":["https://openalex.org/I110210549"]}],"countries":["NP"],"is_corresponding":false,"raw_author_name":"Sravan Shrestha","raw_affiliation_strings":["International Center for Integrated Mountain Development, Lalitpur 44700, Nepal"],"affiliations":[{"raw_affiliation_string":"International Center for Integrated Mountain Development, Lalitpur 44700, Nepal","institution_ids":["https://openalex.org/I110210549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077156991","display_name":"Liying Guo","orcid":"https://orcid.org/0000-0001-9684-0204"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liying Guo","raw_affiliation_strings":["Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011971882","display_name":"Li Lin","orcid":"https://orcid.org/0000-0002-7753-2270"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Lin","raw_affiliation_strings":["Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017432124","display_name":"Timothy Mayer","orcid":"https://orcid.org/0000-0001-9489-9392"},"institutions":[{"id":"https://openalex.org/I1294504835","display_name":"Marshall Space Flight Center","ror":"https://ror.org/02epydz83","country_code":"US","type":"facility","lineage":["https://openalex.org/I1294504835","https://openalex.org/I4210124779"]},{"id":"https://openalex.org/I82495205","display_name":"University of Alabama in Huntsville","ror":"https://ror.org/02zsxwr40","country_code":"US","type":"education","lineage":["https://openalex.org/I82495205"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Timothy J. Mayer","raw_affiliation_strings":["Earth System Science Center, The University of Alabama in Huntsville, 320 Sparkman Drive, Huntsville, AL 35805, USA","SERVIR Science Coordination Office, NASA Marshall Space Flight Center 320 Sparkman Drive, Huntsville, AL 35805, USA"],"affiliations":[{"raw_affiliation_string":"Earth System Science Center, The University of Alabama in Huntsville, 320 Sparkman Drive, Huntsville, AL 35805, USA","institution_ids":["https://openalex.org/I82495205"]},{"raw_affiliation_string":"SERVIR Science Coordination Office, NASA Marshall Space Flight Center 320 Sparkman Drive, Huntsville, AL 35805, USA","institution_ids":["https://openalex.org/I1294504835"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060753714","display_name":"Aparna Phalke","orcid":"https://orcid.org/0000-0001-6059-8305"},"institutions":[{"id":"https://openalex.org/I1294504835","display_name":"Marshall Space Flight Center","ror":"https://ror.org/02epydz83","country_code":"US","type":"facility","lineage":["https://openalex.org/I1294504835","https://openalex.org/I4210124779"]},{"id":"https://openalex.org/I82495205","display_name":"University of Alabama in Huntsville","ror":"https://ror.org/02zsxwr40","country_code":"US","type":"education","lineage":["https://openalex.org/I82495205"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aparna R. Phalke","raw_affiliation_strings":["Earth System Science Center, The University of Alabama in Huntsville, 320 Sparkman Drive, Huntsville, AL 35805, USA","SERVIR Science Coordination Office, NASA Marshall Space Flight Center 320 Sparkman Drive, Huntsville, AL 35805, USA"],"affiliations":[{"raw_affiliation_string":"Earth System Science Center, The University of Alabama in Huntsville, 320 Sparkman Drive, Huntsville, AL 35805, USA","institution_ids":["https://openalex.org/I82495205"]},{"raw_affiliation_string":"SERVIR Science Coordination Office, NASA Marshall Space Flight Center 320 Sparkman Drive, Huntsville, AL 35805, USA","institution_ids":["https://openalex.org/I1294504835"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5012116347"],"corresponding_institution_ids":["https://openalex.org/I162714631"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":11.0395,"has_fulltext":true,"cited_by_count":45,"citation_normalized_percentile":{"value":0.98856816,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"15","issue":"9","first_page":"2374","last_page":"2374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9973999857902527,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9661999940872192,"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/estimation","display_name":"Estimation","score":0.5504136085510254},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5114556550979614},{"id":"https://openalex.org/keywords/evapotranspiration","display_name":"Evapotranspiration","score":0.4984111785888672},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.4710628390312195},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4684085249900818},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45265287160873413},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4384092390537262},{"id":"https://openalex.org/keywords/yield","display_name":"Yield (engineering)","score":0.43307533860206604},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4111441373825073},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35780835151672363},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3483365774154663},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.18784353137016296},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14311644434928894},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1287693977355957}],"concepts":[{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5504136085510254},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5114556550979614},{"id":"https://openalex.org/C176783924","wikidata":"https://www.wikidata.org/wiki/Q828158","display_name":"Evapotranspiration","level":2,"score":0.4984111785888672},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.4710628390312195},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4684085249900818},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45265287160873413},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4384092390537262},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.43307533860206604},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4111441373825073},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35780835151672363},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3483365774154663},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.18784353137016296},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14311644434928894},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1287693977355957},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15092374","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15092374","pdf_url":"https://www.mdpi.com/2072-4292/15/9/2374/pdf?version=1682850911","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:05ed05ccde4748108d865378e574dabe","is_oa":true,"landing_page_url":"https://doaj.org/article/05ed05ccde4748108d865378e574dabe","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 9, p 2374 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/9/2374/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15092374","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 9; Pages: 2374","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15092374","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15092374","pdf_url":"https://www.mdpi.com/2072-4292/15/9/2374/pdf?version=1682850911","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","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G1673391379","display_name":null,"funder_award_id":"80NSSC2","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G2907521060","display_name":null,"funder_award_id":"80NSSC20K0161","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G5087547599","display_name":null,"funder_award_id":"80NSSC20K0","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"}],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320322037","display_name":"Nuclear Safety and Security Commission","ror":"https://ror.org/05qk3ge34"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4367623754.pdf"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W248389711","https://openalex.org/W638954280","https://openalex.org/W1678356000","https://openalex.org/W2034394311","https://openalex.org/W2069620727","https://openalex.org/W2115051489","https://openalex.org/W2148333466","https://openalex.org/W2152406268","https://openalex.org/W2295598076","https://openalex.org/W2520155330","https://openalex.org/W2564103795","https://openalex.org/W2584423918","https://openalex.org/W2589527580","https://openalex.org/W2770540439","https://openalex.org/W2806658743","https://openalex.org/W2890098102","https://openalex.org/W2910422106","https://openalex.org/W2966183399","https://openalex.org/W2979666105","https://openalex.org/W2987713069","https://openalex.org/W3049266285","https://openalex.org/W3081407997","https://openalex.org/W3088809560","https://openalex.org/W3136058438","https://openalex.org/W3142909427","https://openalex.org/W3200017662","https://openalex.org/W3200607786","https://openalex.org/W3201149224","https://openalex.org/W3204146575","https://openalex.org/W3214962395","https://openalex.org/W4200540365","https://openalex.org/W4210727352","https://openalex.org/W4224252319","https://openalex.org/W4281767441","https://openalex.org/W4285032770","https://openalex.org/W4288987532","https://openalex.org/W4292794172","https://openalex.org/W4292794316","https://openalex.org/W4292829747","https://openalex.org/W4292830014","https://openalex.org/W4292854113","https://openalex.org/W4293764376","https://openalex.org/W4297957988","https://openalex.org/W6676994507","https://openalex.org/W6791430069","https://openalex.org/W6802619863","https://openalex.org/W6804200459","https://openalex.org/W6838809683"],"related_works":["https://openalex.org/W3207046288","https://openalex.org/W3023446922","https://openalex.org/W4324030030","https://openalex.org/W4385533602","https://openalex.org/W2102874016","https://openalex.org/W2352756686","https://openalex.org/W3189212133","https://openalex.org/W4382239404","https://openalex.org/W4382519838","https://openalex.org/W2526455285"],"abstract_inverted_index":{"This":[0,74,153,223],"study":[1,75,154,231],"developed":[2],"a":[3,33,46,77,84,147,187],"rapid":[4],"rice":[5,151],"yield":[6,11,35,67,94,213,254],"estimation":[7,36,95,116,129,190,214],"workflow":[8,205,225],"and":[9,18,59,68,71,83,143,180,202,219,233,241,262],"customized":[10,85],"prediction":[12],"model":[13,50,87,204],"by":[14],"integrating":[15],"remote":[16,69,106],"sensing":[17,70],"meteorological":[19,72,123,137],"data":[20,39,42,80,200],"with":[21,134,150,215],"machine":[22,48],"learning":[23,49],"(ML).":[24],"Several":[25],"issues":[26],"need":[27],"to":[28,88,177,194,258],"be":[29,197,227],"addressed":[30],"while":[31],"developing":[32],"crop":[34,66,93,118,247,253],"model,":[37],"including":[38],"quality":[40],"issues,":[41,44],"processing":[43,81,201],"selecting":[45],"suitable":[47],"that":[51,105,157],"can":[52,226,236],"learn":[53],"from":[54,192],"few":[55],"available":[56],"time-series":[57],"data,":[58],"understanding":[60],"the":[61,90,97,126,136,178,234,238,244],"non-linear":[62],"relationship":[63],"between":[64],"historical":[65],"factors.":[73],"applied":[76],"series":[78],"of":[79,92,117,139,184,209,212],"techniques":[82],"ML":[86,127,174,203],"improve":[89],"accuracy":[91,130,167,191,211],"at":[96],"district":[98,193,195],"level":[99],"in":[100,189,229],"Nepal.":[101],"It":[102],"was":[103,111],"found":[104,156],"sensing-derived":[107],"NDVI":[108],"product":[109],"alone":[110],"not":[112],"sufficient":[113],"for":[114],"accurate":[115],"yield.":[119,152],"After":[120],"incorporating":[121],"other":[122,230],"variables":[124,138],"into":[125],"models,":[128],"improved":[131],"dramatically.":[132],"Along":[133],"NDVI,":[135],"rainfall,":[140],"soil":[141],"moisture,":[142],"evapotranspiration":[144],"also":[145,155],"exhibited":[146],"strong":[148],"association":[149],"stacking":[158],"multiple":[159],"tree-based":[160],"regression":[161,171],"models":[162],"together":[163],"could":[164,196],"achieve":[165],"better":[166],"than":[168],"benchmark":[169],"linear":[170],"or":[172],"standalone":[173],"models.":[175],"Due":[176],"unique":[179],"distinct":[181],"physio-geographical":[182],"setting":[183],"each":[185],"district,":[186],"variation":[188],"observed.":[198],"Our":[199],"achieved":[206],"an":[207],"average":[208],"92%":[210],"RMSE":[216],"328.06":[217],"kg/ha":[218],"MAE":[220],"317.21":[221],"kg/ha.":[222],"methodological":[224],"replicated":[228],"areas":[232],"results":[235],"help":[237],"local":[239],"authorities":[240],"stakeholders":[242],"understand":[243],"factors":[245],"affecting":[246],"yields":[248],"as":[249,251],"well":[250],"estimating":[252],"before":[255],"harvesting":[256],"season":[257],"ensure":[259],"food":[260],"security":[261],"sustainability.":[263]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":8}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2023-05-02T00:00:00"}
