{"id":"https://openalex.org/W4398234396","doi":"https://doi.org/10.1145/3658271.3658293","title":"Meteorological Time Series Clustering in Agricultural Applications: A Systematic Literature Review","display_name":"Meteorological Time Series Clustering in Agricultural Applications: A Systematic Literature Review","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4398234396","doi":"https://doi.org/10.1145/3658271.3658293"},"language":"en","primary_location":{"id":"doi:10.1145/3658271.3658293","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3658271.3658293","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3658271.3658293","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th Brazilian Symposium on Information Systems","raw_type":"proceedings-article"},"type":"review","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3658271.3658293","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101621763","display_name":"Marcos Oliveira","orcid":"https://orcid.org/0000-0001-7160-3720"},"institutions":[{"id":"https://openalex.org/I4210147797","display_name":"Instituto Federal Farroupilha","ror":"https://ror.org/04eq71r04","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210147797"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcos Antonio De Oliveira","raw_affiliation_strings":["Federal Institute of Education, Science, and Technology Farroupilha, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-7160-3720","affiliations":[{"raw_affiliation_string":"Federal Institute of Education, Science, and Technology Farroupilha, Brazil","institution_ids":["https://openalex.org/I4210147797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014947704","display_name":"Monalisa Fagundes Oliveira","orcid":"https://orcid.org/0000-0002-3110-7850"},"institutions":[{"id":"https://openalex.org/I345918524","display_name":"Southwest Bahia State University","ror":"https://ror.org/02rg6ka44","country_code":"BR","type":"education","lineage":["https://openalex.org/I345918524"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Monalisa Fagundes Oliveira","raw_affiliation_strings":["Agricultural Engineering and Soils Department, State University of Southwest Bahia, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-3110-7850","affiliations":[{"raw_affiliation_string":"Agricultural Engineering and Soils Department, State University of Southwest Bahia, Brazil","institution_ids":["https://openalex.org/I345918524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075219274","display_name":"Gerson Geraldo H. Cavalheiro","orcid":"https://orcid.org/0000-0002-4314-3429"},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gerson Geraldo H. Cavalheiro","raw_affiliation_strings":["Technological Development Center, Federal University of Pelotas, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-4314-3429","affiliations":[{"raw_affiliation_string":"Technological Development Center, Federal University of Pelotas, Brazil","institution_ids":["https://openalex.org/I169248161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3297,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.44067797,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9312000274658203,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9280999898910522,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6869704127311707},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6519586443901062},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6336380839347839},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.4290335774421692},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.42126139998435974},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3601340651512146},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3491003215312958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23607924580574036},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14401572942733765},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1356944739818573},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06635543704032898},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.0499381422996521}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6869704127311707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6519586443901062},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6336380839347839},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.4290335774421692},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.42126139998435974},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3601340651512146},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3491003215312958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23607924580574036},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14401572942733765},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1356944739818573},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06635543704032898},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0499381422996521},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3658271.3658293","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3658271.3658293","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3658271.3658293","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th Brazilian Symposium on Information Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3658271.3658293","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3658271.3658293","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3658271.3658293","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th Brazilian Symposium on Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4398234396.pdf","grobid_xml":"https://content.openalex.org/works/W4398234396.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1894414046","https://openalex.org/W1987708126","https://openalex.org/W2085230034","https://openalex.org/W2164766394","https://openalex.org/W2165733774","https://openalex.org/W2173536757","https://openalex.org/W2238067305","https://openalex.org/W2398004122","https://openalex.org/W2508187212","https://openalex.org/W2584042228","https://openalex.org/W2806199634","https://openalex.org/W2885094488","https://openalex.org/W2896433647","https://openalex.org/W2914493886","https://openalex.org/W2957255653","https://openalex.org/W2965496855","https://openalex.org/W2982665332","https://openalex.org/W2987864019","https://openalex.org/W3005640255","https://openalex.org/W3007391956","https://openalex.org/W3044221577","https://openalex.org/W3082970222","https://openalex.org/W3175433929","https://openalex.org/W3198253866","https://openalex.org/W3211211769","https://openalex.org/W3211882922","https://openalex.org/W3217746002","https://openalex.org/W4287266438","https://openalex.org/W4290948144","https://openalex.org/W4322576767","https://openalex.org/W4323360724","https://openalex.org/W4382762554","https://openalex.org/W4385489372","https://openalex.org/W4385736034"],"related_works":["https://openalex.org/W2355956201","https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W1919101720","https://openalex.org/W4310225030","https://openalex.org/W2327874825","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Context:":[0],"Clustering":[1],"of":[2,27,55,91,102,118,139,147,172,180,230,236,259],"meteorological":[3,28,71,93,173],"time":[4,29,72,174],"series":[5,73,175],"in":[6,44,74,77,95,105,144,176,212,243],"the":[7,25,31,47,53,66,82,89,92,100,106,116,129,137,145,186,194,209,234,240,247,255],"agricultural":[8,15,75,107,177],"context":[9],"is":[10,34,233],"extremely":[11],"useful":[12],"for":[13,69,202],"improving":[14],"decision":[16],"support":[17],"systems,":[18],"mainly":[19],"through":[20],"climate":[21],"zoning.":[22],"Problem:":[23],"Given":[24],"particularities":[26],"series,":[30],"clustering":[32,70,171],"task":[33],"complex,":[35],"usually":[36],"involving":[37],"data":[38,124,141],"preprocessing":[39],"and":[40,57,85,122,142,155,163,190,197,220,225,249,257],"feature":[41],"extraction":[42],"steps,":[43],"addition":[45],"to":[46,49,87,97,160,245],"need":[48],"keep":[50],"up":[51],"with":[52],"advancement":[54],"technology":[56],"machine":[58],"learning":[59],"techniques.":[60],"Solution:":[61],"This":[62,111,150],"study":[63,151,232],"brings":[64],"together":[65],"main":[67,83,228],"solutions":[68,210],"applications,":[76],"a":[78,153,161],"context-aware":[79],"way,":[80],"mapping":[81],"challenges":[84],"seeking":[86],"understand":[88,99],"characteristics":[90],"data,":[94],"order":[96,244],"better":[98],"applicability":[101],"different":[103],"techniques":[104],"context.":[108],"IS":[109,223],"Theory:":[110],"work":[112],"was":[113],"developed":[114],"within":[115],"scope":[117],"Argumentation":[119],"Theory,":[120],"gathering":[121],"compiling":[123],"from":[125],"primary":[126],"studies":[127],"on":[128,170,193,239],"topic,":[130,242],"as":[131,133,216,252,254],"well":[132,253],"evidence":[134],"that":[135],"proves":[136],"legitimacy":[138],"these":[140],"conclusions":[143],"form":[146],"statements.":[148],"Method:":[149],"presents":[152],"descriptive":[154],"systematic":[156],"literature":[157],"review,":[158],"according":[159],"well-defined":[162],"widely":[164],"used":[165],"methodology,":[166],"regarding":[167],"published":[168,237],"works":[169],"applications.":[178],"Summary":[179],"Results:":[181],"After":[182],"an":[183],"initial":[184],"search,":[185],"papers":[187,199],"were":[188,200,205],"screened":[189],"filtered":[191],"based":[192],"review":[195],"protocol,":[196],"26":[198],"selected":[201],"review.":[203],"Data":[204],"then":[206],"extracted":[207],"about":[208],"presented":[211],"each":[213],"paper,":[214],"such":[215],"objective,":[217],"operation,":[218],"experiments,":[219],"evaluation":[221],"metrics.":[222],"Contributions":[224],"Impact:":[226],"The":[227],"contribution":[229],"this":[231],"organization":[235],"knowledge":[238],"research":[241,261],"identify":[246],"state-of-the-art":[248],"assist":[250],"researchers,":[251],"discussion":[256],"highlighting":[258],"future":[260],"directions.":[262]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-25T07:29:55.448023","created_date":"2025-10-10T00:00:00"}