{"id":"https://openalex.org/W3153725378","doi":"https://doi.org/10.3390/rs13081471","title":"Remotely Piloted Aircraft and Random Forest in the Evaluation of the Spatial Variability of Foliar Nitrogen in Coffee Crop","display_name":"Remotely Piloted Aircraft and Random Forest in the Evaluation of the Spatial Variability of Foliar Nitrogen in Coffee Crop","publication_year":2021,"publication_date":"2021-04-10","ids":{"openalex":"https://openalex.org/W3153725378","doi":"https://doi.org/10.3390/rs13081471","mag":"3153725378"},"language":"en","primary_location":{"id":"doi:10.3390/rs13081471","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13081471","pdf_url":"https://www.mdpi.com/2072-4292/13/8/1471/pdf?version=1618068661","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/2072-4292/13/8/1471/pdf?version=1618068661","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091804441","display_name":"Diego Bedin Marin","orcid":"https://orcid.org/0000-0001-7526-0825"},"institutions":[{"id":"https://openalex.org/I1315085146","display_name":"Universidade Federal de Lavras","ror":"https://ror.org/0122bmm03","country_code":"BR","type":"education","lineage":["https://openalex.org/I1315085146"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Diego Bedin Marin","raw_affiliation_strings":["Agricultural Engineering Department, Federal University of Lavras, Lavras 37200-000, Brazil"],"affiliations":[{"raw_affiliation_string":"Agricultural Engineering Department, Federal University of Lavras, Lavras 37200-000, Brazil","institution_ids":["https://openalex.org/I1315085146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049307051","display_name":"Gabriel Ara\u00fajo e Silva Ferraz","orcid":"https://orcid.org/0000-0001-6403-2210"},"institutions":[{"id":"https://openalex.org/I1315085146","display_name":"Universidade Federal de Lavras","ror":"https://ror.org/0122bmm03","country_code":"BR","type":"education","lineage":["https://openalex.org/I1315085146"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gabriel Ara\u00fajo e Silva Ferraz","raw_affiliation_strings":["Agricultural Engineering Department, Federal University of Lavras, Lavras 37200-000, Brazil"],"affiliations":[{"raw_affiliation_string":"Agricultural Engineering Department, Federal University of Lavras, Lavras 37200-000, Brazil","institution_ids":["https://openalex.org/I1315085146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028201250","display_name":"Paulo Henrique Sales Guimar\u00e3es","orcid":"https://orcid.org/0000-0001-9158-1688"},"institutions":[{"id":"https://openalex.org/I1315085146","display_name":"Universidade Federal de Lavras","ror":"https://ror.org/0122bmm03","country_code":"BR","type":"education","lineage":["https://openalex.org/I1315085146"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Paulo Henrique Sales Guimar\u00e3es","raw_affiliation_strings":["Statistics Department, Federal University of Lavras, Lavras 37200-000, Brazil"],"affiliations":[{"raw_affiliation_string":"Statistics Department, Federal University of Lavras, Lavras 37200-000, Brazil","institution_ids":["https://openalex.org/I1315085146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002406291","display_name":"Felipe Schwerz","orcid":"https://orcid.org/0000-0001-5266-4309"},"institutions":[{"id":"https://openalex.org/I1315085146","display_name":"Universidade Federal de Lavras","ror":"https://ror.org/0122bmm03","country_code":"BR","type":"education","lineage":["https://openalex.org/I1315085146"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Felipe Schwerz","raw_affiliation_strings":["Agricultural Engineering Department, Federal University of Lavras, Lavras 37200-000, Brazil"],"affiliations":[{"raw_affiliation_string":"Agricultural Engineering Department, Federal University of Lavras, Lavras 37200-000, Brazil","institution_ids":["https://openalex.org/I1315085146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070238067","display_name":"Lucas Santos Santana","orcid":"https://orcid.org/0000-0001-7489-3225"},"institutions":[{"id":"https://openalex.org/I1315085146","display_name":"Universidade Federal de Lavras","ror":"https://ror.org/0122bmm03","country_code":"BR","type":"education","lineage":["https://openalex.org/I1315085146"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Lucas Santos Santana","raw_affiliation_strings":["Agricultural Engineering Department, Federal University of Lavras, Lavras 37200-000, Brazil"],"affiliations":[{"raw_affiliation_string":"Agricultural Engineering Department, Federal University of Lavras, Lavras 37200-000, Brazil","institution_ids":["https://openalex.org/I1315085146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037493281","display_name":"Brenon Diennevan Souza Barbosa","orcid":"https://orcid.org/0000-0001-6791-2504"},"institutions":[{"id":"https://openalex.org/I1315085146","display_name":"Universidade Federal de Lavras","ror":"https://ror.org/0122bmm03","country_code":"BR","type":"education","lineage":["https://openalex.org/I1315085146"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Brenon Dienevam Souza Barbosa","raw_affiliation_strings":["Agricultural Engineering Department, Federal University of Lavras, Lavras 37200-000, Brazil"],"affiliations":[{"raw_affiliation_string":"Agricultural Engineering Department, Federal University of Lavras, Lavras 37200-000, Brazil","institution_ids":["https://openalex.org/I1315085146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014018247","display_name":"Rafael Alexandre Pena Barata","orcid":"https://orcid.org/0000-0002-6575-2364"},"institutions":[{"id":"https://openalex.org/I1315085146","display_name":"Universidade Federal de Lavras","ror":"https://ror.org/0122bmm03","country_code":"BR","type":"education","lineage":["https://openalex.org/I1315085146"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rafael Alexandre Pena Barata","raw_affiliation_strings":["Agricultural Engineering Department, Federal University of Lavras, Lavras 37200-000, Brazil"],"affiliations":[{"raw_affiliation_string":"Agricultural Engineering Department, Federal University of Lavras, Lavras 37200-000, Brazil","institution_ids":["https://openalex.org/I1315085146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073869187","display_name":"Rafael de Oliveira Faria","orcid":"https://orcid.org/0000-0003-0488-0204"},"institutions":[{"id":"https://openalex.org/I1315085146","display_name":"Universidade Federal de Lavras","ror":"https://ror.org/0122bmm03","country_code":"BR","type":"education","lineage":["https://openalex.org/I1315085146"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rafael de Oliveira Faria","raw_affiliation_strings":["Agricultural Engineering Department, Federal University of Lavras, Lavras 37200-000, Brazil"],"affiliations":[{"raw_affiliation_string":"Agricultural Engineering Department, Federal University of Lavras, Lavras 37200-000, Brazil","institution_ids":["https://openalex.org/I1315085146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014810633","display_name":"J\u00e9ssica Ellen Lima Dias","orcid":"https://orcid.org/0000-0003-3567-5625"},"institutions":[{"id":"https://openalex.org/I1315085146","display_name":"Universidade Federal de Lavras","ror":"https://ror.org/0122bmm03","country_code":"BR","type":"education","lineage":["https://openalex.org/I1315085146"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jessica Ellen Lima Dias","raw_affiliation_strings":["Agricultural Engineering Department, Federal University of Lavras, Lavras 37200-000, Brazil"],"affiliations":[{"raw_affiliation_string":"Agricultural Engineering Department, Federal University of Lavras, Lavras 37200-000, Brazil","institution_ids":["https://openalex.org/I1315085146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069980323","display_name":"Leonardo Conti","orcid":"https://orcid.org/0000-0002-4181-5893"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Leonardo Conti","raw_affiliation_strings":["Department of Agriculture, Food, Environment and Forestry, University of Florence, Via San Bonaventura, 13-50145 Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Agriculture, Food, Environment and Forestry, University of Florence, Via San Bonaventura, 13-50145 Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044767795","display_name":"Giuseppe Rossi","orcid":"https://orcid.org/0000-0003-0211-9294"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Rossi","raw_affiliation_strings":["Department of Agriculture, Food, Environment and Forestry, University of Florence, Via San Bonaventura, 13-50145 Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Agriculture, Food, Environment and Forestry, University of Florence, Via San Bonaventura, 13-50145 Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5091804441"],"corresponding_institution_ids":["https://openalex.org/I1315085146"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.799,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.93264862,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"13","issue":"8","first_page":"1471","last_page":"1471"},"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":0.9886999726295471,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9670000076293945,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6290796995162964},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6193817853927612},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.5605167150497437},{"id":"https://openalex.org/keywords/crop","display_name":"Crop","score":0.5420113801956177},{"id":"https://openalex.org/keywords/spatial-distribution","display_name":"Spatial distribution","score":0.41832488775253296},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4176049828529358},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4042079448699951},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.40380677580833435},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.3916788101196289},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.3877858817577362},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29057690501213074},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.24180501699447632},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16095039248466492},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15673547983169556},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12729549407958984}],"concepts":[{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6290796995162964},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6193817853927612},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.5605167150497437},{"id":"https://openalex.org/C137580998","wikidata":"https://www.wikidata.org/wiki/Q235352","display_name":"Crop","level":2,"score":0.5420113801956177},{"id":"https://openalex.org/C2777016058","wikidata":"https://www.wikidata.org/wiki/Q7574061","display_name":"Spatial distribution","level":2,"score":0.41832488775253296},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4176049828529358},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4042079448699951},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.40380677580833435},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.3916788101196289},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.3877858817577362},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29057690501213074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.24180501699447632},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16095039248466492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15673547983169556},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12729549407958984},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/rs13081471","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13081471","pdf_url":"https://www.mdpi.com/2072-4292/13/8/1471/pdf?version=1618068661","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:13fca95ddd3544418bfd2653ff103ed9","is_oa":true,"landing_page_url":"https://doaj.org/article/13fca95ddd3544418bfd2653ff103ed9","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 13, Iss 8, p 1471 (2021)","raw_type":"article"},{"id":"pmh:oai:flore.unifi.it:2158/1236561","is_oa":true,"landing_page_url":"https://www.mdpi.com/2072-4292/13/8/1471","pdf_url":null,"source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"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":"info:eu-repo/semantics/article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/8/1471/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13081471","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","raw_type":"Text"},{"id":"pmh:oai:repositorio.ufla.br:1/48975","is_oa":true,"landing_page_url":"https://repositorio.ufla.br/handle/1/48975","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"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":"instacron:UFLA","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3390/rs13081471","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13081471","pdf_url":"https://www.mdpi.com/2072-4292/13/8/1471/pdf?version=1618068661","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","score":0.41999998688697815,"display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3153725378.pdf","grobid_xml":"https://content.openalex.org/works/W3153725378.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W1678322145","https://openalex.org/W1680392829","https://openalex.org/W1912982817","https://openalex.org/W1964217023","https://openalex.org/W1987963812","https://openalex.org/W1995029758","https://openalex.org/W2000613913","https://openalex.org/W2010150056","https://openalex.org/W2012686349","https://openalex.org/W2014555541","https://openalex.org/W2023109493","https://openalex.org/W2023954240","https://openalex.org/W2039604550","https://openalex.org/W2041777957","https://openalex.org/W2052343602","https://openalex.org/W2064636932","https://openalex.org/W2065814573","https://openalex.org/W2081734510","https://openalex.org/W2096996101","https://openalex.org/W2109006150","https://openalex.org/W2114828048","https://openalex.org/W2128438912","https://openalex.org/W2129882004","https://openalex.org/W2158698691","https://openalex.org/W2163191121","https://openalex.org/W2184216423","https://openalex.org/W2188767531","https://openalex.org/W2320327248","https://openalex.org/W2406349003","https://openalex.org/W2558500684","https://openalex.org/W2587031013","https://openalex.org/W2594195678","https://openalex.org/W2599469288","https://openalex.org/W2610196509","https://openalex.org/W2728224506","https://openalex.org/W2767791411","https://openalex.org/W2790197537","https://openalex.org/W2804538544","https://openalex.org/W2804616917","https://openalex.org/W2805142011","https://openalex.org/W2885770726","https://openalex.org/W2897098896","https://openalex.org/W2903662845","https://openalex.org/W2911964244","https://openalex.org/W2914364129","https://openalex.org/W2914498877","https://openalex.org/W2936697057","https://openalex.org/W2938151351","https://openalex.org/W2939698920","https://openalex.org/W2943436523","https://openalex.org/W2992086439","https://openalex.org/W3000369451","https://openalex.org/W3010397612","https://openalex.org/W3013116989","https://openalex.org/W3038838268","https://openalex.org/W3092263277","https://openalex.org/W3120728345","https://openalex.org/W4235785448","https://openalex.org/W6637386731","https://openalex.org/W6648899668","https://openalex.org/W6666487912","https://openalex.org/W6713680328","https://openalex.org/W6733018535","https://openalex.org/W6996135123"],"related_works":["https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3193043704","https://openalex.org/W3171520305","https://openalex.org/W1924178503","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W3135126032","https://openalex.org/W4386937079","https://openalex.org/W2901774584"],"abstract_inverted_index":{"The":[0,86,113,147,165,216],"development":[1],"of":[2,9,40,70,116,158,192,196,206,225,242,247],"approaches":[3],"to":[4,17,36,49,60,82,91,160],"determine":[5,92],"the":[6,38,41,62,96,106,120,126,138,145,171,187,190,193,199,210,213,221,226,245,251],"spatial":[7,194],"variability":[8],"nitrogen":[10],"(N)":[11],"into":[12],"coffee":[13,66,121,200],"leaves":[14],"is":[15],"essential":[16],"increase":[18],"productivity":[19],"and":[20,24,141,154,162,177,218],"reduce":[21],"production":[22],"costs":[23],"environmental":[25],"impacts":[26],"associated":[27],"with":[28,232],"excessive":[29],"N":[30,63,103,117,197,207,233,248],"applications.":[31],"Thus,":[32],"this":[33],"study":[34],"aimed":[35],"assess":[37],"potential":[39],"Random":[42],"Forest":[43],"(RF)":[44],"machine":[45],"learning":[46],"method":[47],"applied":[48,249],"vegetation":[50],"indices":[51],"(VI)":[52],"obtained":[53,74],"from":[54,75],"Remotely":[55],"Piloted":[56],"Aircraft":[57],"(RPA)":[58],"images":[59,77],"measure":[61],"content":[64,118],"in":[65,105,119,129,198,209,239,244],"plants.":[67],"A":[68],"total":[69],"10":[71],"VI":[72,127],"were":[73,100,132,168],"multispectral":[76],"by":[78,102,144,250],"a":[79,83,155,240],"camera":[80],"attached":[81],"rotary-wing":[84],"RPA.":[85],"RGB":[87],"orthomosaic":[88],"was":[89],"used":[90,133],"sampling":[93],"points":[94],"at":[95],"crop":[97,211,228],"area,":[98],"which":[99,236],"ranked":[101],"levels":[104],"plants":[107,231],"as":[108,123,125,134,202,204],"deficient,":[109],"critical,":[110],"or":[111],"sufficient.":[112],"chemical":[114],"analysis":[115],"leaves,":[122],"well":[124,203],"values":[128],"sample":[130],"points,":[131],"input":[135],"parameters":[136],"for":[137,212],"image":[139],"training":[140],"its":[142],"classification":[143],"RF.":[146],"suggested":[148],"model":[149,188],"has":[150],"shown":[151],"global":[152],"accuracy":[153],"kappa":[156],"coefficient":[157],"up":[159],"0.91":[161],"0.86,":[163],"respectively.":[164],"best":[166],"results":[167],"achieved":[169],"using":[170],"Green":[172,178],"Normalized":[173],"Difference":[174],"Vegetation":[175,182],"(GNDVI)":[176],"Optimized":[179],"Soil":[180],"Adjusted":[181],"Index":[183],"(GOSAVI).":[184],"In":[185],"addition,":[186],"enabled":[189],"evaluation":[191],"distribution":[195],"trees,":[201],"quantification":[205],"deficiency":[208,234],"whole":[214],"area.":[215],"GNDVI":[217],"GOSAVI":[219],"allowed":[220],"verification":[222],"that":[223],"22%":[224],"entire":[227],"area":[229],"had":[230],"symptoms,":[235],"would":[237],"result":[238],"reduction":[241],"78%":[243],"amount":[246],"producer.":[252]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
