{"id":"https://openalex.org/W4380632596","doi":"https://doi.org/10.3390/rs15123075","title":"Integrating Remote Sensing and Weather Variables for Mango Yield Prediction Using a Machine Learning Approach","display_name":"Integrating Remote Sensing and Weather Variables for Mango Yield Prediction Using a Machine Learning Approach","publication_year":2023,"publication_date":"2023-06-12","ids":{"openalex":"https://openalex.org/W4380632596","doi":"https://doi.org/10.3390/rs15123075"},"language":"en","primary_location":{"id":"doi:10.3390/rs15123075","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15123075","pdf_url":"https://www.mdpi.com/2072-4292/15/12/3075/pdf?version=1686618809","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/2072-4292/15/12/3075/pdf?version=1686618809","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079115780","display_name":"Benjamin Adjah Torgbor","orcid":"https://orcid.org/0000-0002-9017-6821"},"institutions":[{"id":"https://openalex.org/I90745801","display_name":"University of New England","ror":"https://ror.org/04r659a56","country_code":"AU","type":"education","lineage":["https://openalex.org/I90745801"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Benjamin Adjah Torgbor","raw_affiliation_strings":["Applied Agricultural Remote Sensing Centre, University of New England, Armidale, NSW 2351, Australia"],"affiliations":[{"raw_affiliation_string":"Applied Agricultural Remote Sensing Centre, University of New England, Armidale, NSW 2351, Australia","institution_ids":["https://openalex.org/I90745801"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055821411","display_name":"Muhammad Moshiur Rahman","orcid":"https://orcid.org/0000-0001-6430-0588"},"institutions":[{"id":"https://openalex.org/I90745801","display_name":"University of New England","ror":"https://ror.org/04r659a56","country_code":"AU","type":"education","lineage":["https://openalex.org/I90745801"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Muhammad Moshiur Rahman","raw_affiliation_strings":["Applied Agricultural Remote Sensing Centre, University of New England, Armidale, NSW 2351, Australia"],"affiliations":[{"raw_affiliation_string":"Applied Agricultural Remote Sensing Centre, University of New England, Armidale, NSW 2351, Australia","institution_ids":["https://openalex.org/I90745801"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025319637","display_name":"James Brinkhoff","orcid":"https://orcid.org/0000-0002-0721-2458"},"institutions":[{"id":"https://openalex.org/I90745801","display_name":"University of New England","ror":"https://ror.org/04r659a56","country_code":"AU","type":"education","lineage":["https://openalex.org/I90745801"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"James Brinkhoff","raw_affiliation_strings":["Applied Agricultural Remote Sensing Centre, University of New England, Armidale, NSW 2351, Australia"],"affiliations":[{"raw_affiliation_string":"Applied Agricultural Remote Sensing Centre, University of New England, Armidale, NSW 2351, Australia","institution_ids":["https://openalex.org/I90745801"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073917760","display_name":"Priyakant Sinha","orcid":"https://orcid.org/0000-0002-0278-6866"},"institutions":[{"id":"https://openalex.org/I90745801","display_name":"University of New England","ror":"https://ror.org/04r659a56","country_code":"AU","type":"education","lineage":["https://openalex.org/I90745801"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Priyakant Sinha","raw_affiliation_strings":["Applied Agricultural Remote Sensing Centre, University of New England, Armidale, NSW 2351, Australia"],"affiliations":[{"raw_affiliation_string":"Applied Agricultural Remote Sensing Centre, University of New England, Armidale, NSW 2351, Australia","institution_ids":["https://openalex.org/I90745801"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053826776","display_name":"Andrew Robson","orcid":"https://orcid.org/0000-0001-5762-8980"},"institutions":[{"id":"https://openalex.org/I90745801","display_name":"University of New England","ror":"https://ror.org/04r659a56","country_code":"AU","type":"education","lineage":["https://openalex.org/I90745801"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Andrew Robson","raw_affiliation_strings":["Applied Agricultural Remote Sensing Centre, University of New England, Armidale, NSW 2351, Australia"],"affiliations":[{"raw_affiliation_string":"Applied Agricultural Remote Sensing Centre, University of New England, Armidale, NSW 2351, Australia","institution_ids":["https://openalex.org/I90745801"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5079115780"],"corresponding_institution_ids":["https://openalex.org/I90745801"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":8.0617,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.97988184,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"15","issue":"12","first_page":"3075","last_page":"3075"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9983999729156494,"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":0.9939000010490417,"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/environmental-science","display_name":"Environmental science","score":0.7154057025909424},{"id":"https://openalex.org/keywords/evapotranspiration","display_name":"Evapotranspiration","score":0.6357100009918213},{"id":"https://openalex.org/keywords/orchard","display_name":"Orchard","score":0.5882300138473511},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.5288774967193604},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4905833303928375},{"id":"https://openalex.org/keywords/yield","display_name":"Yield (engineering)","score":0.4749241769313812},{"id":"https://openalex.org/keywords/growing-season","display_name":"Growing season","score":0.4432297348976135},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4272938072681427},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.42624741792678833},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.41120392084121704},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.3643971383571625},{"id":"https://openalex.org/keywords/hydrology","display_name":"Hydrology (agriculture)","score":0.3499765396118164},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1634986400604248},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.15530428290367126},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.09848472476005554},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.087482750415802}],"concepts":[{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.7154057025909424},{"id":"https://openalex.org/C176783924","wikidata":"https://www.wikidata.org/wiki/Q828158","display_name":"Evapotranspiration","level":2,"score":0.6357100009918213},{"id":"https://openalex.org/C2780753983","wikidata":"https://www.wikidata.org/wiki/Q236371","display_name":"Orchard","level":2,"score":0.5882300138473511},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.5288774967193604},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4905833303928375},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.4749241769313812},{"id":"https://openalex.org/C137660486","wikidata":"https://www.wikidata.org/wiki/Q732240","display_name":"Growing season","level":2,"score":0.4432297348976135},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4272938072681427},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.42624741792678833},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.41120392084121704},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.3643971383571625},{"id":"https://openalex.org/C76886044","wikidata":"https://www.wikidata.org/wiki/Q2883300","display_name":"Hydrology (agriculture)","level":2,"score":0.3499765396118164},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1634986400604248},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.15530428290367126},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.09848472476005554},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.087482750415802},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs15123075","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15123075","pdf_url":"https://www.mdpi.com/2072-4292/15/12/3075/pdf?version=1686618809","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:rune.une.edu.au:1959.11/55108","is_oa":true,"landing_page_url":"https://hdl.handle.net/1959.11/55108","pdf_url":"https://rune.une.edu.au/bitstreams/954d59c1-139a-455a-b7d7-113a8d3892b3/download","source":{"id":"https://openalex.org/S7407055448","display_name":"RUNE (Research UNE)","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:4a9b28c742b740c8a86fa7e36ec25914","is_oa":true,"landing_page_url":"https://doaj.org/article/4a9b28c742b740c8a86fa7e36ec25914","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 12, p 3075 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/12/3075/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15123075","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 12; Pages: 3075","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15123075","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15123075","pdf_url":"https://www.mdpi.com/2072-4292/15/12/3075/pdf?version=1686618809","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":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.46000000834465027}],"awards":[],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"},{"id":"https://openalex.org/F4320320964","display_name":"University of New England","ror":"https://ror.org/04r659a56"},{"id":"https://openalex.org/F4320325648","display_name":"Department of Agriculture and Water Resources, Australian Government","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4380632596.pdf"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1831050183","https://openalex.org/W1903041551","https://openalex.org/W1964050442","https://openalex.org/W1977886272","https://openalex.org/W1978617972","https://openalex.org/W1980180011","https://openalex.org/W1986072339","https://openalex.org/W2004303413","https://openalex.org/W2004518048","https://openalex.org/W2009389563","https://openalex.org/W2036459681","https://openalex.org/W2040827997","https://openalex.org/W2062461224","https://openalex.org/W2080310852","https://openalex.org/W2090799511","https://openalex.org/W2113410727","https://openalex.org/W2135996629","https://openalex.org/W2144559754","https://openalex.org/W2146203579","https://openalex.org/W2159961845","https://openalex.org/W2174882701","https://openalex.org/W2295598076","https://openalex.org/W2334435192","https://openalex.org/W2416782259","https://openalex.org/W2617056706","https://openalex.org/W2620972090","https://openalex.org/W2725897987","https://openalex.org/W2757887277","https://openalex.org/W2768210762","https://openalex.org/W2805699593","https://openalex.org/W2896971046","https://openalex.org/W2897332308","https://openalex.org/W2900840130","https://openalex.org/W2902658278","https://openalex.org/W2911964244","https://openalex.org/W2929705482","https://openalex.org/W2940718352","https://openalex.org/W2944794516","https://openalex.org/W2947309173","https://openalex.org/W2957945548","https://openalex.org/W2991004173","https://openalex.org/W3017978035","https://openalex.org/W3037597928","https://openalex.org/W3039861142","https://openalex.org/W3042706118","https://openalex.org/W3079760979","https://openalex.org/W3083918067","https://openalex.org/W3098019734","https://openalex.org/W3098378075","https://openalex.org/W3126181068","https://openalex.org/W3127263314","https://openalex.org/W3131745224","https://openalex.org/W3166460572","https://openalex.org/W3168156408","https://openalex.org/W3178959444","https://openalex.org/W3192081481","https://openalex.org/W3195393484","https://openalex.org/W3207612413","https://openalex.org/W4200438220","https://openalex.org/W4214577775","https://openalex.org/W4220984994","https://openalex.org/W4242289937","https://openalex.org/W4246056272","https://openalex.org/W4249014180","https://openalex.org/W4309852397","https://openalex.org/W4377235478","https://openalex.org/W6702557908","https://openalex.org/W6796130064"],"related_works":["https://openalex.org/W2016150941","https://openalex.org/W2360471910","https://openalex.org/W2996115036","https://openalex.org/W3096013024","https://openalex.org/W1964538194","https://openalex.org/W2415170322","https://openalex.org/W2046550984","https://openalex.org/W2161881124","https://openalex.org/W2969072466","https://openalex.org/W2391543016"],"abstract_inverted_index":{"Accurate":[0],"pre-harvest":[1],"yield":[2,33,113,133,240],"forecasting":[3,34,114],"of":[4,40,57,105,115,156,161,166,232,363,390,409,467],"mango":[5,417,423],"is":[6,93],"essential":[7],"to":[8,137,283,386,421],"the":[9,41,83,102,153,162,167,179,184,186,224,235,239,243,247,285,301,311,329,335,350,364,396,400,407,422,442,456],"industry":[10,424],"as":[11,36,61],"it":[12,427],"supports":[13,461],"better":[14,309,460],"decision":[15],"making":[16],"around":[17],"harvesting":[18],"logistics":[19],"and":[20,26,51,64,90,126,150,174,196,211,228,238,246,269,279,288,349,375,382,399,436,463,471],"forward":[21],"selling,":[22],"thus":[23],"optimizing":[24],"productivity":[25],"reducing":[27],"food":[28],"waste.":[29],"Current":[30],"methods":[31],"for":[32,81,96,112,178,298,333,347,359,415,455],"such":[35,60],"manually":[37],"counting":[38],"2\u20133%":[39],"orchard":[42,144],"can":[43],"be":[44,284],"accurate":[45],"but":[46,74,458],"are":[47,425],"very":[48,71],"time":[49],"inefficient":[50],"labour":[52],"intensive.":[53],"More":[54],"recent":[55],"evaluations":[56],"technological":[58],"solutions":[59],"remote":[62,109],"(satellite)":[63],"proximal":[65],"(on":[66],"ground)":[67],"sensing":[68,110],"have":[69],"provided":[70],"encouraging":[72],"results,":[73],"they":[75],"still":[76],"require":[77,122],"infield":[78,123,434],"in-season":[79],"sampling":[80],"calibration,":[82,435],"technology":[84],"comes":[85],"at":[86,394],"a":[87,106,117,410,451],"significant":[88],"cost,":[89],"commercial":[91,443],"availability":[92],"limited,":[94],"especially":[95],"vehicle-mounted":[97],"sensors.":[98],"This":[99],"study":[100,405],"presents":[101,450],"first":[103],"evaluation":[104],"\u201dtime":[107,411],"series\u201d\u2014based":[108],"method":[111,118,414],"mango,":[116],"that":[119,426],"does":[120],"not":[121,448],"fruit":[124],"counts":[125],"utilizes":[127,428],"freely":[128,429],"available":[129,430],"satellite":[130,176],"imagery.":[131],"Historic":[132],"data":[134,177],"from":[135,141,146,171,219,384],"2015":[136],"2022":[138],"were":[139,169,191,216,275,281],"sourced":[140,218],"51":[142],"individual":[143],"blocks":[145,168],"two":[147],"farms":[148],"(AH":[149],"MK)":[151,376],"in":[152,465],"Northern":[154],"Territory":[155],"Australia.":[157],"Time":[158],"series":[159],"measures":[160,231],"canopy":[163,233],"reflectance":[164],"properties":[165],"obtained":[170],"Landsat":[172],"7":[173],"8":[175],"2015\u20132022":[180],"growing":[181,236],"seasons.":[182],"From":[183],"imagery,":[185,431],"following":[187],"vegetation":[188],"indices":[189],"(VIs)":[190],"derived:":[192],"EVI,":[193],"GNDVI,":[194],"NDVI,":[195],"LSWI,":[197],"whilst":[198],"corresponding":[199],"weather":[200,227,289],"variables":[201],"(rainfall":[202],"(Prec),":[203],"temperature":[204],"(Tmin/Tmax),":[205],"evapotranspiration":[206],"(ETo),":[207],"solar":[208],"radiation":[209],"(Rad),":[210],"vapor":[212],"pressure":[213],"deficit":[214],"(vpd))":[215],"also":[217,459],"SILO":[220],"data.":[221],"To":[222],"determine":[223],"relationships":[225],"among":[226],"remotely":[229],"sensed":[230],"throughout":[234],"season":[237],"achieved":[241],"(at":[242],"block":[244,343,356,397],"level":[245,398,473],"farm":[248,401],"level),":[249],"six":[250,369],"machine":[251],"learning":[252],"(ML)":[253],"algorithms,":[254],"namely":[255],"random":[256],"forest":[257],"(RF),":[258],"support":[259],"vector":[260],"regression":[261,273],"(SVR),":[262],"eXtreme":[263],"gradient":[264],"boosting":[265],"(XGBOOST),":[266],"RIDGE,":[267],"LASSO":[268],"partial":[270],"least":[271],"square":[272],"(PLSR),":[274],"trialed.":[276],"The":[277,292,320,419],"EVI/GNDVI":[278],"Prec/Tmin":[280],"found":[282],"best":[286,302],"RS":[287,312,413],"predictors,":[290],"respectively.":[291],"block-level":[293,330],"combined":[294,336],"RS/weather-based":[295,337,365],"RF":[296,314,338,366],"model":[297,315,322,331,339,352],"2021":[299],"produced":[300,377],"result":[303],"(MAE":[304,316],"=":[305,317,341,345,354,357],"2.9":[306],"t/ha),":[307],"marginally":[308],"than":[310,328,373],"only":[313,449],"3.4":[318],"t/ha).":[319],"farm-level":[321],"error":[323],"(FLEM)":[324],"was":[325],"generally":[326],"lower":[327],"error,":[332],"both":[334,395],"(farm":[340,353],"3.7%,":[342],"(NMAE)":[344],"33.6%":[346],"2021)":[348],"RS-based":[351],"4.3%,":[355],"38.4%":[358],"2021).":[360],"Further":[361],"testing":[362],"models":[367],"over":[368],"additional":[370],"orchards":[371],"(other":[372],"AH":[374],"errors":[378],"ranging":[379],"between":[380],"24%":[381],"39%":[383],"2016":[385],"2020.":[387],"Although":[388],"accuracies":[389],"prediction":[391],"did":[392],"vary":[393],"level,":[402],"this":[403,446],"preliminary":[404],"demonstrates":[406],"potential":[408],"series\u201d":[412],"predicting":[416],"yields.":[418],"benefits":[420],"requires":[432],"no":[433],"provides":[437],"predictions":[438],"several":[439],"months":[440],"before":[441],"harvest.":[444],"Therefore,":[445],"outcome":[447],"more":[452],"adoptable":[453],"option":[454],"industry,":[457],"automation":[462],"scalability":[464],"terms":[466],"block-,":[468],"farm-,":[469],"regional,":[470],"national":[472],"forecasting.":[474]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
