{"id":"https://openalex.org/W4392909547","doi":"https://doi.org/10.1109/access.2024.3376735","title":"Accurate Wheat Yield Prediction Using Machine Learning and Climate-NDVI Data Fusion","display_name":"Accurate Wheat Yield Prediction Using Machine Learning and Climate-NDVI Data Fusion","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392909547","doi":"https://doi.org/10.1109/access.2024.3376735"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3376735","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3376735","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10471549.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10471549.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Muhammad Ashfaq","orcid":"https://orcid.org/0009-0005-5044-9505"},"institutions":[{"id":"https://openalex.org/I121243025","display_name":"International Islamic University, Islamabad","ror":"https://ror.org/047w75g40","country_code":"PK","type":"education","lineage":["https://openalex.org/I121243025"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Ashfaq","raw_affiliation_strings":["Department of Software Engineering, International Islamic University Islamabad, Islamabad, Pakistan"],"raw_orcid":"https://orcid.org/0009-0005-5044-9505","affiliations":[{"raw_affiliation_string":"Department of Software Engineering, International Islamic University Islamabad, Islamabad, Pakistan","institution_ids":["https://openalex.org/I121243025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101971963","display_name":"Imran Khan","orcid":"https://orcid.org/0000-0003-1319-5970"},"institutions":[{"id":"https://openalex.org/I121243025","display_name":"International Islamic University, Islamabad","ror":"https://ror.org/047w75g40","country_code":"PK","type":"education","lineage":["https://openalex.org/I121243025"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Imran Khan","raw_affiliation_strings":["Department of Computer Science, International Islamic University Islamabad, Islamabad, Pakistan"],"raw_orcid":"https://orcid.org/0000-0003-1319-5970","affiliations":[{"raw_affiliation_string":"Department of Computer Science, International Islamic University Islamabad, Islamabad, Pakistan","institution_ids":["https://openalex.org/I121243025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012605027","display_name":"Abdulrahman Alzahrani","orcid":"https://orcid.org/0009-0002-4402-084X"},"institutions":[{"id":"https://openalex.org/I4210099699","display_name":"University of Jeddah","ror":"https://ror.org/015ya8798","country_code":"SA","type":"education","lineage":["https://openalex.org/I4210099699"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Abdulrahman Alzahrani","raw_affiliation_strings":["Department of Information Systems and Technology, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia","Department of Information Systems and Technology, College of Computer Science and Engineering, University of Jeddah, Jeddah, Kingdom of Saudi Arabia"],"raw_orcid":"https://orcid.org/0009-0002-4402-084X","affiliations":[{"raw_affiliation_string":"Department of Information Systems and Technology, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I4210099699"]},{"raw_affiliation_string":"Department of Information Systems and Technology, College of Computer Science and Engineering, University of Jeddah, Jeddah, Kingdom of Saudi Arabia","institution_ids":["https://openalex.org/I4210099699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079382054","display_name":"Muhammad Usman Tariq","orcid":"https://orcid.org/0000-0002-7605-3040"},"institutions":[{"id":"https://openalex.org/I117222138","display_name":"Abu Dhabi University","ror":"https://ror.org/01r3kjq03","country_code":"AE","type":"education","lineage":["https://openalex.org/I117222138"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Muhammad Usman Tariq","raw_affiliation_strings":["Marketing, Operations, and Information System, Abu Dhabi University, Abu Dhabi, United Arab Emirates"],"raw_orcid":"https://orcid.org/0000-0002-7605-3040","affiliations":[{"raw_affiliation_string":"Marketing, Operations, and Information System, Abu Dhabi University, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I117222138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091643520","display_name":"Humera Khan","orcid":"https://orcid.org/0000-0001-5479-7826"},"institutions":[{"id":"https://openalex.org/I118590987","display_name":"Northern Border University","ror":"https://ror.org/03j9tzj20","country_code":"SA","type":"education","lineage":["https://openalex.org/I118590987"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Humera Khan","raw_affiliation_strings":["Department of Information Systems, Faculty of Computing and Information Technology, Northern Border University, Rafha, Saudi Arabia","Department of Information Systems, Faculty of Computing and Information Technology, Northern Border University, Rafha, Kingdom of Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0001-5479-7826","affiliations":[{"raw_affiliation_string":"Department of Information Systems, Faculty of Computing and Information Technology, Northern Border University, Rafha, Saudi Arabia","institution_ids":["https://openalex.org/I118590987"]},{"raw_affiliation_string":"Department of Information Systems, Faculty of Computing and Information Technology, Northern Border University, Rafha, Kingdom of Saudi Arabia","institution_ids":["https://openalex.org/I118590987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067577291","display_name":"Anwar Ghani","orcid":"https://orcid.org/0000-0001-7474-0405"},"institutions":[{"id":"https://openalex.org/I121243025","display_name":"International Islamic University, Islamabad","ror":"https://ror.org/047w75g40","country_code":"PK","type":"education","lineage":["https://openalex.org/I121243025"]},{"id":"https://openalex.org/I83202590","display_name":"Jeju National University","ror":"https://ror.org/05hnb4n85","country_code":"KR","type":"education","lineage":["https://openalex.org/I83202590"]}],"countries":["KR","PK"],"is_corresponding":false,"raw_author_name":"Anwar Ghani","raw_affiliation_strings":["Department of Computer Science, International Islamic University Islamabad, Islamabad, Pakistan","Big Data Research Center, Jeju National University, Jeju-si, Jeju-do, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-7474-0405","affiliations":[{"raw_affiliation_string":"Department of Computer Science, International Islamic University Islamabad, Islamabad, Pakistan","institution_ids":["https://openalex.org/I121243025"]},{"raw_affiliation_string":"Big Data Research Center, Jeju National University, Jeju-si, Jeju-do, South Korea","institution_ids":["https://openalex.org/I83202590"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":21.862,"has_fulltext":true,"cited_by_count":66,"citation_normalized_percentile":{"value":0.99719403,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"12","issue":null,"first_page":"40947","last_page":"40961"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9934999942779541,"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/T10439","display_name":"Climate change impacts on agriculture","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"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/lasso","display_name":"Lasso (programming language)","score":0.6236363053321838},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5663706064224243},{"id":"https://openalex.org/keywords/food-security","display_name":"Food security","score":0.518291175365448},{"id":"https://openalex.org/keywords/crop-yield","display_name":"Crop yield","score":0.5142276287078857},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.501251220703125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.451379656791687},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.43887633085250854},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4308738112449646},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3660281300544739},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.36422839760780334},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.32763785123825073},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.2139233648777008},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1645883023738861},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12675675749778748}],"concepts":[{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.6236363053321838},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5663706064224243},{"id":"https://openalex.org/C549605437","wikidata":"https://www.wikidata.org/wiki/Q1229911","display_name":"Food security","level":3,"score":0.518291175365448},{"id":"https://openalex.org/C126343540","wikidata":"https://www.wikidata.org/wiki/Q889514","display_name":"Crop yield","level":2,"score":0.5142276287078857},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.501251220703125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.451379656791687},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.43887633085250854},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4308738112449646},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3660281300544739},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.36422839760780334},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.32763785123825073},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.2139233648777008},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1645883023738861},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12675675749778748},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3376735","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3376735","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10471549.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8fc924dc024d4889bac9f047688b78d2","is_oa":true,"landing_page_url":"https://doaj.org/article/8fc924dc024d4889bac9f047688b78d2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 40947-40961 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3376735","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3376735","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10471549.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.8700000047683716}],"awards":[{"id":"https://openalex.org/G240493785","display_name":null,"funder_award_id":"RS-2023-00220285","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G8572017136","display_name":null,"funder_award_id":"RS-2023-00220285","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392909547.pdf","grobid_xml":"https://content.openalex.org/works/W4392909547.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W266684152","https://openalex.org/W1967135612","https://openalex.org/W1975459696","https://openalex.org/W1977545093","https://openalex.org/W2037337872","https://openalex.org/W2064675550","https://openalex.org/W2109628770","https://openalex.org/W2149276985","https://openalex.org/W2160030559","https://openalex.org/W2202019762","https://openalex.org/W2416782259","https://openalex.org/W2612890152","https://openalex.org/W2759257303","https://openalex.org/W2800451846","https://openalex.org/W2805142011","https://openalex.org/W2810045082","https://openalex.org/W2929705482","https://openalex.org/W2944794516","https://openalex.org/W2979666105","https://openalex.org/W2994949492","https://openalex.org/W2995179471","https://openalex.org/W2995678734","https://openalex.org/W2996336160","https://openalex.org/W2998827069","https://openalex.org/W2999658315","https://openalex.org/W3000098473","https://openalex.org/W3008924261","https://openalex.org/W3036855490","https://openalex.org/W3049266285","https://openalex.org/W3079760979","https://openalex.org/W3083643364","https://openalex.org/W3097088508","https://openalex.org/W3134816142","https://openalex.org/W3146049777","https://openalex.org/W3154477431","https://openalex.org/W3165319944","https://openalex.org/W3204102481","https://openalex.org/W3205715508","https://openalex.org/W3213946193","https://openalex.org/W4205126821","https://openalex.org/W4212982437","https://openalex.org/W4213044558","https://openalex.org/W4220677561","https://openalex.org/W4221024143","https://openalex.org/W4229440317","https://openalex.org/W4239510810","https://openalex.org/W4289812882","https://openalex.org/W4310875148","https://openalex.org/W4313292882","https://openalex.org/W4313388727","https://openalex.org/W4318570637","https://openalex.org/W4319083788","https://openalex.org/W4366254383","https://openalex.org/W4376278147","https://openalex.org/W4377022166","https://openalex.org/W4385070750","https://openalex.org/W6771658506"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W2987670468","https://openalex.org/W4385701552"],"abstract_inverted_index":{"Due":[0],"to":[1,129,147,199,211,219,282],"exponential":[2],"population":[3],"growth,":[4],"climate":[5,62,80],"change,":[6],"and":[7,22,39,79,90,106,170,174,195,238,247,270,310],"an":[8,15],"increasing":[9],"demand":[10],"for":[11,18,45,55,204],"food,":[12],"there":[13],"is":[14],"unprecedented":[16],"need":[17],"a":[19,29,33,67,241,291],"timely,":[20],"precise,":[21],"dependable":[23],"assessment":[24],"of":[25,42,52,69,97,103,141,225,243,297],"crop":[26,35,56,220],"yield":[27,57,113,132,205,262],"on":[28,61],"large":[30],"scale.":[31],"Wheat,":[32],"staple":[34],"worldwide,":[36],"requires":[37],"accurate":[38],"prompt":[40],"prediction":[41,114,206,263,279],"its":[43],"output":[44],"global":[46],"food":[47],"security.":[48],"Traditionally,":[49],"the":[50,72,82,101,121,134,138,148,184,214,278,287,318],"development":[51],"empirical":[53,202],"models":[54,203,235,275,289],"forecasting":[58],"has":[59],"relied":[60],"data,":[63,65,81],"satellite":[64,78],"or":[66],"combination":[68],"both.":[70],"Despite":[71],"enhanced":[73],"performance":[74,102,264],"achieved":[75],"by":[76,123,151,178],"integrating":[77,179],"contributions":[83],"from":[84,126,209,280],"various":[85],"sources":[86,128],"(Climate,":[87],"Soil,":[88],"Socioeconomic,":[89],"Remote":[91],"sensing)":[92],"remain":[93],"unclear.":[94],"The":[95,143,222,249],"lack":[96],"well-defined":[98],"comparisons":[99],"between":[100],"regression-based":[104],"approaches":[105],"different":[107],"Machine":[108],"Learning":[109,234],"(ML)":[110],"methods":[111],"in":[112,133,137,317],"necessitates":[115],"further":[116],"investigation.":[117],"This":[118],"study":[119,319],"addresses":[120],"gaps":[122],"combining":[124,253],"data":[125,182,198,208,223],"multiple":[127],"forecast":[130],"wheat":[131],"Multan":[135],"region":[136],"Punjab":[139],"province":[140],"Pakistan.":[142],"findings":[144],"are":[145],"compared":[146],"benchmark":[149,274],"provided":[150],"Crop":[152],"Report":[153],"Services":[154],"(CRS)":[155],"Punjab,":[156],"with":[157,231,290,308,312],"three":[158,232,257],"widely":[159],"used":[160],"ML":[161,258],"techniques":[162],"(support":[163],"vector":[164],"machine":[165],"(SVM),":[166],"Random":[167,284],"Forest":[168],"(RF),":[169],"Least":[171],"Absolute":[172],"Shrinkage":[173],"Selection":[175],"Operator":[176],"(LASSO))":[177],"publicly":[180],"available":[181],"within":[183],"GEE":[185],"(Google":[186],"Earth":[187],"Engine)":[188],"platform,":[189],"including":[190],"climate,":[191],"satellite,":[192,246],"soil":[193],"properties,":[194],"spatial":[196,268],"information":[197,269],"develop":[200],"alternative":[201],"using":[207,256],"2017":[210],"2022,":[212],"selecting":[213],"best":[215],"attribute":[216],"subset":[217],"related":[218],"output.":[221],"set":[224],"district-level":[226],"simulated":[227],"yields":[228],"was":[229],"analyzed":[230],"Machin":[233],"(SVM,":[236],"RF,":[237],"LASSO)":[239],"as":[240],"function":[242],"seasonal":[244],"weather,":[245],"soil.":[248],"results":[250,316],"indicate":[251],"that":[252,305],"all":[254],"datasets":[255],"algorithms":[259],"achieves":[260],"better":[261,315],"(R2:":[265],"0.74-0.88).":[266],"Incorporating":[267],"other":[271],"properties":[272],"into":[273],"can":[276],"improve":[277],"0.08":[281],"0.12.":[283],"forest":[285,307],"outperformed":[286],"competitor":[288],"Root":[292],"Mean":[293],"Square":[294],"Error":[295],"(RMSE)":[296],"0.05":[298],"q/ha":[299],"andR2of":[300],"0.88.":[301],"Comparative":[302],"analysis":[303],"shows":[304],"random":[306],"97%":[309],"SVM":[311],"93%":[313],"yielded":[314],"area.":[320]},"counts_by_year":[{"year":2026,"cited_by_count":20},{"year":2025,"cited_by_count":35},{"year":2024,"cited_by_count":11}],"updated_date":"2026-08-02T14:50:37.381335","created_date":"2025-10-10T00:00:00"}