{"id":"https://openalex.org/W4214713085","doi":"https://doi.org/10.3390/rs14051136","title":"Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors","display_name":"Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors","publication_year":2022,"publication_date":"2022-02-25","ids":{"openalex":"https://openalex.org/W4214713085","doi":"https://doi.org/10.3390/rs14051136"},"language":"en","primary_location":{"id":"doi:10.3390/rs14051136","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14051136","pdf_url":"https://www.mdpi.com/2072-4292/14/5/1136/pdf?version=1646053114","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/2072-4292/14/5/1136/pdf?version=1646053114","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027552079","display_name":"A. A. Masrur Ahmed","orcid":"https://orcid.org/0000-0002-7941-3902"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"A. A. Masrur Ahmed","raw_affiliation_strings":["School of Mathematics, Physics and Computing, University of Southern Queensland, Springfield, QLD 4300, Australia"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Physics and Computing, University of Southern Queensland, Springfield, QLD 4300, Australia","institution_ids":["https://openalex.org/I185523456"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063903845","display_name":"Ekta Sharma","orcid":"https://orcid.org/0000-0003-3692-382X"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ekta Sharma","raw_affiliation_strings":["School of Mathematics, Physics and Computing, University of Southern Queensland, Springfield, QLD 4300, Australia"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Physics and Computing, University of Southern Queensland, Springfield, QLD 4300, Australia","institution_ids":["https://openalex.org/I185523456"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102784734","display_name":"S. Janifer Jabin Jui","orcid":"https://orcid.org/0000-0002-2858-2423"},"institutions":[{"id":"https://openalex.org/I4210142395","display_name":"Torrens University Australia","ror":"https://ror.org/0351xae06","country_code":"AU","type":"education","lineage":["https://openalex.org/I4210142395"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"S. Janifer Jabin Jui","raw_affiliation_strings":["Global Project Management (Advanced), Torrens University, Sydney, NSW 2000, Australia"],"affiliations":[{"raw_affiliation_string":"Global Project Management (Advanced), Torrens University, Sydney, NSW 2000, Australia","institution_ids":["https://openalex.org/I4210142395"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065141057","display_name":"Ravinesh C. Deo","orcid":null},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Ravinesh C. Deo","raw_affiliation_strings":["School of Mathematics, Physics and Computing, University of Southern Queensland, Springfield, QLD 4300, Australia"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Physics and Computing, University of Southern Queensland, Springfield, QLD 4300, Australia","institution_ids":["https://openalex.org/I185523456"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082804219","display_name":"Thong Nguyen\u2010Huy","orcid":"https://orcid.org/0000-0002-2201-6666"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Thong Nguyen-Huy","raw_affiliation_strings":["Centre for Applied Climate Sciences, University of Southern Queensland, Toowoomba, QLD 4350, Australia","Ho Chi Minh City Space Technology Application Center, Vietnam National Space Center, VAST, Ho Chi Minh 700000, Vietnam","SQNNSW Drought Resilience Adoption and Innovation Hub, University of Southern Queensland, Toowoomba, QLD 4350, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Applied Climate Sciences, University of Southern Queensland, Toowoomba, QLD 4350, Australia","institution_ids":["https://openalex.org/I185523456"]},{"raw_affiliation_string":"Ho Chi Minh City Space Technology Application Center, Vietnam National Space Center, VAST, Ho Chi Minh 700000, Vietnam","institution_ids":[]},{"raw_affiliation_string":"SQNNSW Drought Resilience Adoption and Innovation Hub, University of Southern Queensland, Toowoomba, QLD 4350, Australia","institution_ids":["https://openalex.org/I185523456"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070051800","display_name":"Mumtaz Ali","orcid":null},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mumtaz Ali","raw_affiliation_strings":["Deakin-SWU Joint Research Centre on Big Data, School of Information Technology, Deakin University, Deakin, VIC 3125, Australia"],"affiliations":[{"raw_affiliation_string":"Deakin-SWU Joint Research Centre on Big Data, School of Information Technology, Deakin University, Deakin, VIC 3125, Australia","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5065141057"],"corresponding_institution_ids":["https://openalex.org/I185523456"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":7.1402,"has_fulltext":true,"cited_by_count":46,"citation_normalized_percentile":{"value":0.97528423,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"14","issue":"5","first_page":"1136","last_page":"1136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9980999827384949,"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":0.9980999827384949,"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/T10439","display_name":"Climate change impacts on agriculture","score":0.9966999888420105,"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"}},{"id":"https://openalex.org/T11404","display_name":"Irrigation Practices and Water Management","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/1111","display_name":"Soil 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/satellite","display_name":"Satellite","score":0.45828667283058167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.457295298576355},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.43345656991004944},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.4301249384880066},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4249318242073059},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.340212881565094},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20280298590660095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18015524744987488},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11416319012641907}],"concepts":[{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.45828667283058167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.457295298576355},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.43345656991004944},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.4301249384880066},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4249318242073059},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.340212881565094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20280298590660095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18015524744987488},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11416319012641907},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/rs14051136","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14051136","pdf_url":"https://www.mdpi.com/2072-4292/14/5/1136/pdf?version=1646053114","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:eprints.usq.edu.au:47316","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400692","display_name":"University of Southern Queensland ePrints (University of Southern Queensland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I185523456","host_organization_name":"University of Southern Queensland","host_organization_lineage":["https://openalex.org/I185523456"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article (Commonwealth Reporting Category C)"},{"id":"pmh:oai:doaj.org/article:6c7b4e3cecbb4d45b282bb9b42ae8b34","is_oa":true,"landing_page_url":"https://doaj.org/article/6c7b4e3cecbb4d45b282bb9b42ae8b34","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 14, Iss 5, p 1136 (2022)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/20617527","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Kernel_Ridge_Regression_Hybrid_Method_for_Wheat_Yield_Prediction_with_Satellite-Derived_Predictors/20617527","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/5/1136/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14051136","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 14; Issue 5; Pages: 1136","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14051136","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14051136","pdf_url":"https://www.mdpi.com/2072-4292/14/5/1136/pdf?version=1646053114","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G8065469845","display_name":null,"funder_award_id":"USQ PRS 2019-2021","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320320985","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4214713085.pdf","grobid_xml":"https://content.openalex.org/works/W4214713085.grobid-xml"},"referenced_works_count":104,"referenced_works":["https://openalex.org/W211697757","https://openalex.org/W1740585449","https://openalex.org/W1967135612","https://openalex.org/W1972420894","https://openalex.org/W1973552978","https://openalex.org/W1979636379","https://openalex.org/W1984670478","https://openalex.org/W1988121422","https://openalex.org/W1989788683","https://openalex.org/W1991938667","https://openalex.org/W1992664296","https://openalex.org/W1999009363","https://openalex.org/W2000621750","https://openalex.org/W2010806274","https://openalex.org/W2013973135","https://openalex.org/W2021662310","https://openalex.org/W2026818864","https://openalex.org/W2032628842","https://openalex.org/W2040246094","https://openalex.org/W2042493419","https://openalex.org/W2046498873","https://openalex.org/W2053765539","https://openalex.org/W2057154121","https://openalex.org/W2058709694","https://openalex.org/W2069466983","https://openalex.org/W2075294859","https://openalex.org/W2083553000","https://openalex.org/W2101234009","https://openalex.org/W2101272580","https://openalex.org/W2105755807","https://openalex.org/W2108084845","https://openalex.org/W2108706807","https://openalex.org/W2117613928","https://openalex.org/W2125056386","https://openalex.org/W2126226085","https://openalex.org/W2147746661","https://openalex.org/W2148001371","https://openalex.org/W2156710280","https://openalex.org/W2157467184","https://openalex.org/W2167443344","https://openalex.org/W2216444323","https://openalex.org/W2274744025","https://openalex.org/W2319929171","https://openalex.org/W2343193908","https://openalex.org/W2430606261","https://openalex.org/W2502900449","https://openalex.org/W2523681343","https://openalex.org/W2581822685","https://openalex.org/W2606048008","https://openalex.org/W2753434909","https://openalex.org/W2772354950","https://openalex.org/W2775425027","https://openalex.org/W2801076518","https://openalex.org/W2889545660","https://openalex.org/W2898519805","https://openalex.org/W2899289605","https://openalex.org/W2911287026","https://openalex.org/W2911964244","https://openalex.org/W2924610876","https://openalex.org/W2940200036","https://openalex.org/W2942803188","https://openalex.org/W2944794516","https://openalex.org/W2947179124","https://openalex.org/W2953686964","https://openalex.org/W2969418413","https://openalex.org/W2974308494","https://openalex.org/W2980653736","https://openalex.org/W2990957319","https://openalex.org/W2995007884","https://openalex.org/W2995678734","https://openalex.org/W2999658315","https://openalex.org/W3000098473","https://openalex.org/W3004203398","https://openalex.org/W3008179697","https://openalex.org/W3012717404","https://openalex.org/W3014874376","https://openalex.org/W3015527879","https://openalex.org/W3029014910","https://openalex.org/W3045046752","https://openalex.org/W3076896779","https://openalex.org/W3079760979","https://openalex.org/W3085107006","https://openalex.org/W3104791420","https://openalex.org/W3118762074","https://openalex.org/W3125358680","https://openalex.org/W3127771660","https://openalex.org/W3135366015","https://openalex.org/W3169963517","https://openalex.org/W3192238650","https://openalex.org/W3196721192","https://openalex.org/W3199298652","https://openalex.org/W3200165735","https://openalex.org/W3217399876","https://openalex.org/W4200341517","https://openalex.org/W4211007200","https://openalex.org/W4250024550","https://openalex.org/W6654196255","https://openalex.org/W6664450429","https://openalex.org/W6675354045","https://openalex.org/W6676158880","https://openalex.org/W6682642761","https://openalex.org/W6684863256","https://openalex.org/W6755467330","https://openalex.org/W6843061952"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3211292372"],"abstract_inverted_index":{"Wheat":[0],"dominates":[1],"the":[2,12,57,61,79,102,107,145,163,168,171,184,195,207,210,227],"Australian":[3],"grain":[4],"production":[5],"market":[6],"and":[7,31,35,78,105,114,130,142,147,193,233],"accounts":[8],"for":[9],"10\u201315%":[10],"of":[11,92,125,139,173,197],"world\u2019s":[13],"100":[14],"million":[15],"tonnes":[16],"annual":[17],"global":[18],"wheat":[19,22,185],"trade.":[20],"Accurate":[21],"yield":[23,58,149,186,218],"prediction":[24,153],"is":[25,97,180],"critical":[26],"to":[27,37,55,99,182,187,225,237],"satisfying":[28],"local":[29],"consumption":[30],"increasing":[32],"exports":[33],"regionally":[34],"globally":[36],"meet":[38],"human":[39],"food":[40],"security.":[41],"This":[42],"paper":[43],"incorporates":[44],"remote":[45,222],"satellite-based":[46,95],"information":[47],"in":[48,52,206,216],"a":[49,123,131,151],"wheat-growing":[50],"region":[51],"South":[53],"Australia":[54],"estimate":[56],"by":[59,159,161,191],"integrating":[60],"kernel":[62],"ridge":[63],"regression":[64],"(KRR)":[65],"method":[66],"coupled":[67],"with":[68,74],"complete":[69],"ensemble":[70],"empirical":[71],"mode":[72],"decomposition":[73,133],"adaptive":[75],"noise":[76],"(CEEMDAN)":[77],"grey":[80],"wolf":[81],"optimisation":[82],"(GWO).":[83],"The":[84],"hybrid":[85],"model,":[86],"\u2018GWO-CEEMDAN-KRR,\u2019":[87],"employing":[88,162],"an":[89],"initial":[90],"pool":[91],"23":[93],"different":[94],"predictors,":[96],"seen":[98],"outperform":[100],"all":[101,106],"benchmark":[103],"models":[104],"feature":[108,132],"selection":[109],"(ant":[110],"colony,":[111],"atom":[112],"search,":[113],"particle":[115],"swarm":[116],"optimisation)":[117],"methods":[118],"that":[119,155,178,220],"are":[120],"implemented":[121],"using":[122],"set":[124],"carefully":[126],"screened":[127],"satellite":[128,198],"variables":[129,199],"or":[134],"CEEMDAN":[135],"approach.":[136],"A":[137],"suite":[138],"statistical":[140],"metrics":[141,169],"infographics":[143],"comparing":[144],"predicted":[146],"measured":[148],"shows":[150],"model":[152,212],"error":[154],"can":[156,213],"be":[157,214],"reduced":[158],"~20%":[160],"proposed":[164,208],"GWO-CEEMDAN-KRR":[165,211],"model.":[166],"With":[167,203],"verifying":[170],"accuracy":[172],"simulations,":[174],"we":[175],"also":[176],"show":[177],"it":[179],"possible":[181],"optimise":[183],"achieve":[188],"agricultural":[189,217],"profits":[190],"quantifying":[192],"including":[194],"effects":[196],"on":[200],"potential":[201],"yield.":[202],"further":[204],"improvements":[205],"methodology,":[209],"adopted":[215],"simulation":[219],"requires":[221],"sensing":[223],"data":[224],"establish":[226],"relationships":[228],"between":[229],"crop":[230],"health,":[231],"yield,":[232],"other":[234],"productivity":[235],"features":[236],"support":[238],"precision":[239],"agriculture.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":5}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}
