{"id":"https://openalex.org/W2797416978","doi":"https://doi.org/10.3390/rs10040585","title":"A Comparison between Standard and Functional Clustering Methodologies: Application to Agricultural Fields for Yield Pattern Assessment","display_name":"A Comparison between Standard and Functional Clustering Methodologies: Application to Agricultural Fields for Yield Pattern Assessment","publication_year":2018,"publication_date":"2018-04-10","ids":{"openalex":"https://openalex.org/W2797416978","doi":"https://doi.org/10.3390/rs10040585","mag":"2797416978"},"language":"en","primary_location":{"id":"doi:10.3390/rs10040585","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10040585","pdf_url":"https://www.mdpi.com/2072-4292/10/4/585/pdf?version=1525347853","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/2072-4292/10/4/585/pdf?version=1525347853","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067377025","display_name":"Simone Pascucci","orcid":"https://orcid.org/0000-0002-8311-8615"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210115556","display_name":"National Research Council - Institute of Methodologies for Environmental Analysis","ror":"https://ror.org/024ye7w89","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210115556","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Simone Pascucci","raw_affiliation_strings":["Institute of Methodologies for Environmental Analysis, National Research Council of Italy, C.da Santa Loja, Tito Scalo, 85050 Potenza, Italy"],"affiliations":[{"raw_affiliation_string":"Institute of Methodologies for Environmental Analysis, National Research Council of Italy, C.da Santa Loja, Tito Scalo, 85050 Potenza, Italy","institution_ids":["https://openalex.org/I4210115556","https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081885514","display_name":"Maria Francesca Carfora","orcid":"https://orcid.org/0000-0002-4570-1690"},"institutions":[{"id":"https://openalex.org/I4210106125","display_name":"Istituto per le Applicazioni del Calcolo Mauro Picone","ror":"https://ror.org/00ygy3d85","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210106125","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maria Carfora","raw_affiliation_strings":["Istituto per le Applicazioni del Calcolo \u201cM. Picone\u201d, National Research Council of Italy, 80100 Naples, Italy","Istituto per le Applicazioni del Calcolo \"M. Picone\", National Research Council of Italy, 80100 Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Istituto per le Applicazioni del Calcolo \u201cM. Picone\u201d, National Research Council of Italy, 80100 Naples, Italy","institution_ids":["https://openalex.org/I4210106125","https://openalex.org/I4210155236"]},{"raw_affiliation_string":"Istituto per le Applicazioni del Calcolo \"M. Picone\", National Research Council of Italy, 80100 Naples, Italy","institution_ids":["https://openalex.org/I4210106125","https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089051713","display_name":"Angelo Palombo","orcid":"https://orcid.org/0000-0003-1746-0057"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210115556","display_name":"National Research Council - Institute of Methodologies for Environmental Analysis","ror":"https://ror.org/024ye7w89","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210115556","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Angelo Palombo","raw_affiliation_strings":["Institute of Methodologies for Environmental Analysis, National Research Council of Italy, C.da Santa Loja, Tito Scalo, 85050 Potenza, Italy"],"affiliations":[{"raw_affiliation_string":"Institute of Methodologies for Environmental Analysis, National Research Council of Italy, C.da Santa Loja, Tito Scalo, 85050 Potenza, Italy","institution_ids":["https://openalex.org/I4210115556","https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011054993","display_name":"Stefano Pignatti","orcid":"https://orcid.org/0000-0002-0587-8926"},"institutions":[{"id":"https://openalex.org/I4210115556","display_name":"National Research Council - Institute of Methodologies for Environmental Analysis","ror":"https://ror.org/024ye7w89","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210115556","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Pignatti","raw_affiliation_strings":["Institute of Methodologies for Environmental Analysis, National Research Council of Italy, C.da Santa Loja, Tito Scalo, 85050 Potenza, Italy"],"affiliations":[{"raw_affiliation_string":"Institute of Methodologies for Environmental Analysis, National Research Council of Italy, C.da Santa Loja, Tito Scalo, 85050 Potenza, Italy","institution_ids":["https://openalex.org/I4210115556","https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028303505","display_name":"Raffaele Casa","orcid":"https://orcid.org/0000-0003-3091-7680"},"institutions":[{"id":"https://openalex.org/I138938424","display_name":"Universit\u00e0 degli Studi della Tuscia","ror":"https://ror.org/03svwq685","country_code":"IT","type":"education","lineage":["https://openalex.org/I138938424"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Raffaele Casa","raw_affiliation_strings":["Department of Agriculture Forestry and Nature (DAFNE), University of Tuscia, 01100 Viterbo, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Agriculture Forestry and Nature (DAFNE), University of Tuscia, 01100 Viterbo, Italy","institution_ids":["https://openalex.org/I138938424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069445894","display_name":"Monica Pepe","orcid":"https://orcid.org/0000-0001-5473-1050"},"institutions":[{"id":"https://openalex.org/I4210125249","display_name":"Istituto per il Rilevamento Elettromagnetico dell'Ambiente","ror":"https://ror.org/02wxw4x45","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210125249","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Monica Pepe","raw_affiliation_strings":["Institute for Electromagnetic Sensing of the Environment, National Research Council of Italy, 20133 Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Institute for Electromagnetic Sensing of the Environment, National Research Council of Italy, 20133 Milano, Italy","institution_ids":["https://openalex.org/I4210155236","https://openalex.org/I4210125249"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078006662","display_name":"Fabio Castaldi","orcid":"https://orcid.org/0000-0001-9160-1765"},"institutions":[{"id":"https://openalex.org/I95674353","display_name":"UCLouvain","ror":"https://ror.org/02495e989","country_code":"BE","type":"education","lineage":["https://openalex.org/I95674353"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Fabio Castaldi","raw_affiliation_strings":["Georges Lema\u00eetre Centre for Earth and Climate, Earth and Life Institute, Universite Catholique de Louvain, 1348 Louvain-la-Neuve, Belgium"],"affiliations":[{"raw_affiliation_string":"Georges Lema\u00eetre Centre for Earth and Climate, Earth and Life Institute, Universite Catholique de Louvain, 1348 Louvain-la-Neuve, Belgium","institution_ids":["https://openalex.org/I95674353"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5067377025"],"corresponding_institution_ids":["https://openalex.org/I4210115556","https://openalex.org/I4210155236"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.7499,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.84206763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"10","issue":"4","first_page":"585","last_page":"585"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9936000108718872,"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"}},{"id":"https://openalex.org/T11796","display_name":"Horticultural and Viticultural Research","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8627117276191711},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6111653447151184},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.5823521018028259},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.565004825592041},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5549995303153992},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5180637836456299},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.467288076877594},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45521801710128784},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42409470677375793},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3694361448287964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.366674542427063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32991015911102295},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1264939308166504},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07315179705619812}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8627117276191711},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6111653447151184},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.5823521018028259},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.565004825592041},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5549995303153992},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5180637836456299},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.467288076877594},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45521801710128784},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42409470677375793},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3694361448287964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.366674542427063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32991015911102295},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1264939308166504},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07315179705619812},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs10040585","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10040585","pdf_url":"https://www.mdpi.com/2072-4292/10/4/585/pdf?version=1525347853","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:522d8ac4ed0645ed80529fb9bf918c89","is_oa":true,"landing_page_url":"https://doaj.org/article/522d8ac4ed0645ed80529fb9bf918c89","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 10, Iss 4, p 585 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/10/4/585/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs10040585","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 10; Issue 4; Pages: 585","raw_type":"Text"},{"id":"pmh:oai:zenodo.org:3876176","is_oa":true,"landing_page_url":"https://zenodo.org/record/3876176","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3390/rs10040585","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10040585","pdf_url":"https://www.mdpi.com/2072-4292/10/4/585/pdf?version=1525347853","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/2","score":0.8299999833106995,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2797416978.pdf","grobid_xml":"https://content.openalex.org/works/W2797416978.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W1516464528","https://openalex.org/W1533073574","https://openalex.org/W1566530121","https://openalex.org/W1763496468","https://openalex.org/W1894940466","https://openalex.org/W1918821378","https://openalex.org/W1970703547","https://openalex.org/W1979210946","https://openalex.org/W1980317569","https://openalex.org/W1983908352","https://openalex.org/W1985059878","https://openalex.org/W1987971958","https://openalex.org/W1990881776","https://openalex.org/W1992419399","https://openalex.org/W2011430131","https://openalex.org/W2020618463","https://openalex.org/W2030864384","https://openalex.org/W2031619975","https://openalex.org/W2038782607","https://openalex.org/W2042562561","https://openalex.org/W2049175330","https://openalex.org/W2054681322","https://openalex.org/W2066212935","https://openalex.org/W2066555826","https://openalex.org/W2071949631","https://openalex.org/W2080038303","https://openalex.org/W2116627051","https://openalex.org/W2132914434","https://openalex.org/W2157872906","https://openalex.org/W2159732573","https://openalex.org/W2161336494","https://openalex.org/W2165835468","https://openalex.org/W2165874743","https://openalex.org/W2168997446","https://openalex.org/W2174926646","https://openalex.org/W2193209126","https://openalex.org/W2262188337","https://openalex.org/W2280602655","https://openalex.org/W2296206997","https://openalex.org/W2322799392","https://openalex.org/W2466879946","https://openalex.org/W2478841918","https://openalex.org/W2486683043","https://openalex.org/W2492778706","https://openalex.org/W2500797550","https://openalex.org/W2594329014","https://openalex.org/W2625756857","https://openalex.org/W2761969998","https://openalex.org/W2772753146","https://openalex.org/W2791514669","https://openalex.org/W2791924394","https://openalex.org/W2923626555","https://openalex.org/W2949537047","https://openalex.org/W4319293043","https://openalex.org/W6662481121","https://openalex.org/W6683194942"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W3207046288","https://openalex.org/W3023446922","https://openalex.org/W4324030030","https://openalex.org/W2350990509","https://openalex.org/W3200375535","https://openalex.org/W3088345466","https://openalex.org/W2034832342"],"abstract_inverted_index":{"The":[0,53,126,160,191,247],"recognition":[1,61],"of":[2,28,55,64,69,87,101,136,204,228,232,243,269],"spatial":[3,51],"patterns":[4,43,66,155],"within":[5],"agricultural":[6,21,45,107,270],"fields,":[7,46,271],"presenting":[8],"similar":[9],"yield":[10,50,88,208],"potential":[11],"areas,":[12],"stable":[13,41],"through":[14,196],"time,":[15],"is":[16],"very":[17],"important":[18],"for":[19,38,59,133,206,212,234,257,265],"optimizing":[20],"practices.":[22],"This":[23],"study":[24],"proposes":[25],"the":[26,60,94,139,147,157,229],"evaluation":[27],"different":[29,56,95,113,192,280],"clustering":[30,57,96,150,165,186,245,251],"methodologies":[31,252],"applied":[32,116],"to":[33,48,78,81,98,152,168],"multispectral":[34],"satellite":[35],"time":[36,99,171],"series":[37,100],"retrieving":[39],"temporally":[40],"(constant)":[42],"in":[44,67,173,279],"related":[47,80],"within-field":[49],"distribution.":[52],"ability":[54],"procedures":[58,166],"and":[62,84,117,122,131,255,261,276],"mapping":[63],"constant":[65,154,258],"fields":[68,108],"cereal":[70],"crops":[71],"was":[72],"assessed.":[73],"Crop":[74],"vigor":[75],"patterns,":[76],"considered":[77],"be":[79,263],"soils":[82],"characteristics,":[83],"possibly":[85],"indicative":[86],"potential,":[89],"were":[90,115,194,210],"derived":[91],"by":[92],"applying":[93],"algorithms":[97],"Landsat":[102,120],"images":[103],"acquired":[104],"on":[105,200,273],"94":[106],"near":[109],"Rome":[110],"(Italy).":[111],"Two":[112],"approaches":[114,193],"validated":[118,195],"using":[119],"7":[121],"8":[123],"archived":[124],"imagery.":[125],"first":[127],"approach":[128,162],"automatically":[129],"extracts":[130],"calculates":[132],"each":[134,235],"field":[135,158],"interest":[137],"(FOI)":[138],"Normalized":[140],"Difference":[141],"Vegetation":[142],"Index":[143],"(NDVI),":[144],"then":[145],"exploits":[146],"standard":[148,176,244],"K-means":[149],"algorithm":[151],"derive":[153],"at":[156],"level.":[159],"second":[161],"applies":[163],"novel":[164,249],"directly":[167],"spectral":[169],"reflectance":[170],"series,":[172],"particular:":[174],"(1)":[175],"K-means;":[177,180],"(2)":[178],"functional":[179,183,219,250],"(3)":[181],"multivariate":[182,218],"principal":[184,220],"components":[185,221],"analysis;":[187],"(4)":[188],"hierarchical":[189],"clustering.":[190],"cluster":[197],"accuracy":[198,240],"estimates":[199],"a":[201,225,238,266],"reference":[202],"set":[203],"FOIs":[205],"which":[207],"maps":[209],"available":[211],"some":[213],"years.":[214],"Results":[215],"show":[216],"that":[217],"clustering,":[222],"with":[223],"an":[224],"priori":[226],"determination":[227],"optimal":[230],"number":[231],"classes":[233],"FOI,":[236],"provides":[237],"better":[239],"than":[241],"those":[242],"algorithms.":[246],"proposed":[248],"are":[253],"effective":[254],"efficient":[256],"pattern":[259],"retrieval":[260],"can":[262],"used":[264],"sustainable":[267],"management":[268],"depending":[272],"farming":[274],"systems":[275],"environmental":[277],"conditions":[278],"regions.":[281]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
