{"id":"https://openalex.org/W2983610881","doi":"https://doi.org/10.23919/eusipco.2019.8902734","title":"Analysis of nematodes in coffee crops at different altitudes using aerial images","display_name":"Analysis of nematodes in coffee crops at different altitudes using aerial images","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2983610881","doi":"https://doi.org/10.23919/eusipco.2019.8902734","mag":"2983610881"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2019.8902734","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8902734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088010675","display_name":"Alexandre J. Oliveira","orcid":null},"institutions":[{"id":"https://openalex.org/I80850581","display_name":"Universidade Federal de Uberl\u00e2ndia","ror":"https://ror.org/04x3wvr31","country_code":"BR","type":"education","lineage":["https://openalex.org/I80850581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alexandre J. Oliveira","raw_affiliation_strings":["Federal University of Uberlandia (UFU)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Uberlandia (UFU)","institution_ids":["https://openalex.org/I80850581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074575596","display_name":"Gleice Aparecida de Assis","orcid":"https://orcid.org/0000-0003-0239-1474"},"institutions":[{"id":"https://openalex.org/I80850581","display_name":"Universidade Federal de Uberl\u00e2ndia","ror":"https://ror.org/04x3wvr31","country_code":"BR","type":"education","lineage":["https://openalex.org/I80850581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gleice A. Assis","raw_affiliation_strings":["Federal University of Uberlandia (UFU)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Uberlandia (UFU)","institution_ids":["https://openalex.org/I80850581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042178956","display_name":"Elaine R. Faria","orcid":"https://orcid.org/0000-0001-5242-9026"},"institutions":[{"id":"https://openalex.org/I80850581","display_name":"Universidade Federal de Uberl\u00e2ndia","ror":"https://ror.org/04x3wvr31","country_code":"BR","type":"education","lineage":["https://openalex.org/I80850581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Elaine R. Faria","raw_affiliation_strings":["Federal University of Uberlandia (UFU)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Uberlandia (UFU)","institution_ids":["https://openalex.org/I80850581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081787060","display_name":"Jefferson R. Souza","orcid":"https://orcid.org/0000-0001-6422-4722"},"institutions":[{"id":"https://openalex.org/I80850581","display_name":"Universidade Federal de Uberl\u00e2ndia","ror":"https://ror.org/04x3wvr31","country_code":"BR","type":"education","lineage":["https://openalex.org/I80850581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jefferson R. Souza","raw_affiliation_strings":["Federal University of Uberlandia (UFU)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Uberlandia (UFU)","institution_ids":["https://openalex.org/I80850581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063488446","display_name":"Kelen Cristiane Teixeira Vivaldini","orcid":"https://orcid.org/0000-0001-5985-9635"},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Kelen C. T. Vivaldini","raw_affiliation_strings":["Federal University of Sao Carlos (UFSCar)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Sao Carlos (UFSCar)","institution_ids":["https://openalex.org/I177909021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063755961","display_name":"Vitor Guizilini","orcid":"https://orcid.org/0000-0002-8715-8307"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Vitor Guizilini","raw_affiliation_strings":["University of Sydney (USYD)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sydney (USYD)","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062619542","display_name":"F\u00e1bio Ramos","orcid":"https://orcid.org/0000-0002-2996-2188"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Fabio Ramos","raw_affiliation_strings":["University of Sydney (USYD)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sydney (USYD)","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108572514","display_name":"Cavalcante Mendes","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142721","display_name":"Hospital Universit\u00e1rio da Universidade de S\u00e3o Paulo","ror":"https://ror.org/0406jsq08","country_code":"BR","type":"healthcare","lineage":["https://openalex.org/I17974374","https://openalex.org/I4210142721"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"C. T. Caio Mendes","raw_affiliation_strings":["University of Sao Paulo (USP)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sao Paulo (USP)","institution_ids":["https://openalex.org/I4210142721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047424364","display_name":"Denis F. Wolf","orcid":"https://orcid.org/0000-0003-1485-5686"},"institutions":[{"id":"https://openalex.org/I4210142721","display_name":"Hospital Universit\u00e1rio da Universidade de S\u00e3o Paulo","ror":"https://ror.org/0406jsq08","country_code":"BR","type":"healthcare","lineage":["https://openalex.org/I17974374","https://openalex.org/I4210142721"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Denis F. Wolf","raw_affiliation_strings":["University of Sao Paulo (USP)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sao Paulo (USP)","institution_ids":["https://openalex.org/I4210142721"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.06978554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9993000030517578,"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/T12894","display_name":"Date Palm Research Studies","score":0.9690999984741211,"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/T12079","display_name":"IoT Networks and Protocols","score":0.9275000095367432,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.633378803730011},{"id":"https://openalex.org/keywords/pest-analysis","display_name":"PEST analysis","score":0.5543809533119202},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5180180668830872},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5020403861999512},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.46458321809768677},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.45888975262641907},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.4489148259162903},{"id":"https://openalex.org/keywords/aerial-imagery","display_name":"Aerial imagery","score":0.4169508218765259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4169093072414398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4008675515651703},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.3684977889060974},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20140275359153748},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.18315860629081726},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18194979429244995},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14332547783851624},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.140706866979599},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.10134267807006836}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.633378803730011},{"id":"https://openalex.org/C22508944","wikidata":"https://www.wikidata.org/wiki/Q568174","display_name":"PEST analysis","level":2,"score":0.5543809533119202},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5180180668830872},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5020403861999512},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.46458321809768677},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.45888975262641907},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.4489148259162903},{"id":"https://openalex.org/C2987819851","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial imagery","level":2,"score":0.4169508218765259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4169093072414398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4008675515651703},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.3684977889060974},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20140275359153748},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.18315860629081726},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18194979429244995},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14332547783851624},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.140706866979599},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.10134267807006836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco.2019.8902734","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8902734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W2019193071","https://openalex.org/W2109862393","https://openalex.org/W2113362555","https://openalex.org/W2194775991","https://openalex.org/W2284218083","https://openalex.org/W2379628519","https://openalex.org/W2496066288","https://openalex.org/W2559657132","https://openalex.org/W2560023338","https://openalex.org/W2587770641","https://openalex.org/W2753403518","https://openalex.org/W2774727102","https://openalex.org/W2782719864","https://openalex.org/W2797897612","https://openalex.org/W2807169760","https://openalex.org/W2884886680","https://openalex.org/W2899043065","https://openalex.org/W2903885536","https://openalex.org/W4232460379","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6709781656","https://openalex.org/W6753560645"],"related_works":["https://openalex.org/W4283696875","https://openalex.org/W3110585990","https://openalex.org/W4385767632","https://openalex.org/W2898690910","https://openalex.org/W2784132289","https://openalex.org/W4286697184","https://openalex.org/W2889700547","https://openalex.org/W2889866244","https://openalex.org/W3034139063","https://openalex.org/W2593313455"],"abstract_inverted_index":{"Precision":[0],"agriculture":[1],"presents":[2],"several":[3,42],"challenges,":[4],"amongst":[5],"them":[6],"the":[7,24,27,36,88,91,101,105],"detection":[8],"of":[9,22,26,38,59,90,98],"diseases":[10],"and":[11,33,74,84],"pests":[12,83],"in":[13,30,41],"agricultural":[14],"environments.":[15],"This":[16],"paper":[17],"describes":[18],"a":[19,60],"methodology":[20,66],"capable":[21],"detecting":[23],"presence":[25],"nematode":[28],"pest":[29,40],"coffee":[31,62],"crops":[32],"also":[34],"analyzing":[35],"behavior":[37],"this":[39],"altitudes":[43],"using":[44],"aerial":[45],"images.":[46],"An":[47],"Unmanned":[48],"Aerial":[49],"Vehicle":[50],"(UAV)":[51],"is":[52],"used":[53],"to":[54,77],"obtain":[55],"high-resolution":[56],"RGB":[57],"images":[58],"Brazilian":[61],"farm.":[63],"The":[64],"proposed":[65,92],"uses":[67],"Convolutional":[68],"Neural":[69],"Networks":[70],"(CNN)":[71],"with":[72,94,104],"U-Net":[73,102],"PSPNet":[75],"architectures":[76],"classify":[78],"areas":[79],"into":[80],"two":[81],"classes:":[82],"non-pests.":[85],"Results":[86],"demonstrate":[87],"viability":[89],"methodology,":[93],"an":[95],"average":[96],"F-measure":[97],"0.69":[99],"for":[100],"architecture":[103],"image":[106],"resolution":[107],"640":[108],"\u00d7":[109],"480.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}