{"id":"https://openalex.org/W2810553234","doi":"https://doi.org/10.1145/3167132.3167155","title":"Identification of fruit fly in intelligent traps using techniques of digital image processing and machine learning","display_name":"Identification of fruit fly in intelligent traps using techniques of digital image processing and machine learning","publication_year":2018,"publication_date":"2018-04-09","ids":{"openalex":"https://openalex.org/W2810553234","doi":"https://doi.org/10.1145/3167132.3167155","mag":"2810553234"},"language":"en","primary_location":{"id":"doi:10.1145/3167132.3167155","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3167132.3167155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd Annual ACM Symposium on Applied Computing","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/A5024882153","display_name":"Thainan Bystronski Remboski","orcid":null},"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":true,"raw_author_name":"Thainan B. Remboski","raw_affiliation_strings":["Federal University of Pelotas, Pelotas, RS, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Pelotas, Pelotas, RS, Brazil","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077581200","display_name":"William Dalmorra de Souza","orcid":null},"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":"William D. de Souza","raw_affiliation_strings":["Federal University of Pelotas, Pelotas, RS, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Pelotas, Pelotas, RS, Brazil","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075071243","display_name":"Mar\u00edlton Sanchotene de Aguiar","orcid":"https://orcid.org/0000-0002-5247-6022"},"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":"Marilton S. de Aguiar","raw_affiliation_strings":["Federal University of Pelotas, Pelotas, RS, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Pelotas, Pelotas, RS, Brazil","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039538346","display_name":"Paulo R. Ferreira","orcid":"https://orcid.org/0000-0001-5631-6766"},"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":"Paulo R. Ferreira","raw_affiliation_strings":["Federal University of Pelotas, Pelotas, RS, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Pelotas, Pelotas, RS, Brazil","institution_ids":["https://openalex.org/I169248161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024882153"],"corresponding_institution_ids":["https://openalex.org/I169248161"],"apc_list":null,"apc_paid":null,"fwci":2.0186,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.86062765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"260","last_page":"267"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12043","display_name":"Insect behavior and control techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect 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/T12043","display_name":"Insect behavior and control techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect 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/T10616","display_name":"Smart Agriculture and AI","score":0.9959999918937683,"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":0.9896000027656555,"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/support-vector-machine","display_name":"Support vector machine","score":0.7429237961769104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6840717196464539},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6801460981369019},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6796742677688599},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6636242270469666},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6006221771240234},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5414237380027771},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5363128781318665},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4395328462123871},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.43069326877593994},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3964129090309143},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3385578989982605},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1251780092716217}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7429237961769104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6840717196464539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6801460981369019},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6796742677688599},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6636242270469666},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6006221771240234},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5414237380027771},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5363128781318665},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4395328462123871},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.43069326877593994},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3964129090309143},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3385578989982605},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1251780092716217},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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":1,"locations":[{"id":"doi:10.1145/3167132.3167155","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3167132.3167155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"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":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1625255723","https://openalex.org/W2004198234","https://openalex.org/W2016348716","https://openalex.org/W2034231583","https://openalex.org/W2051864286","https://openalex.org/W2057479043","https://openalex.org/W2098257359","https://openalex.org/W2101722791","https://openalex.org/W2117228865","https://openalex.org/W2148950015","https://openalex.org/W2246250699","https://openalex.org/W2285671993","https://openalex.org/W2401094681","https://openalex.org/W2997591727","https://openalex.org/W4254868946"],"related_works":["https://openalex.org/W4389954502","https://openalex.org/W2771255398","https://openalex.org/W1989494794","https://openalex.org/W2122031327","https://openalex.org/W1184238669","https://openalex.org/W2930428186","https://openalex.org/W3200027047","https://openalex.org/W4224922629","https://openalex.org/W3125536479","https://openalex.org/W4214820172"],"abstract_inverted_index":{"The":[0],"integrated":[1],"pest":[2],"management":[3],"(IPM)":[4],"is":[5,34,60,188,194],"an":[6,84,178],"approach":[7],"that":[8,192],"seeks":[9],"to":[10,22,47,75,183,190,196],"keep":[11],"pests":[12,33],"always":[13],"below":[14],"the":[15,30,37,66,77,81,97,146,150,152],"level":[16],"at":[17],"which":[18,127],"they":[19],"cause":[20],"damage":[21],"crops.":[23],"A":[24],"technique":[25],"widely":[26],"employed":[27],"in":[28,43,126,200],"monitoring":[29],"population":[31],"of":[32,39,51,83,96,119,123,134,180],"based":[35,144],"on":[36,69,91,145],"use":[38],"traps":[40,53],"and":[41,63,101,108,164],"consists":[42],"regular":[44],"field":[45],"visits":[46],"make":[48],"visual":[49],"observations":[50],"this":[52,70,72,113],"by":[54],"a":[55,93,117,141],"human":[56],"operator.":[57,67],"This":[58],"method":[59],"intensive,":[61],"unhealthy":[62],"costly":[64],"for":[65],"Based":[68],"context,":[71],"work":[73],"aims":[74],"take":[76],"first":[78],"steps":[79],"into":[80,140],"development":[82],"intelligent":[85,201],"trap,":[86],"with":[87],"its":[88,184],"scope":[89],"focused":[90],"developing":[92],"classification":[94],"system":[95],"insects":[98,199],"Ceratitis":[99],"capitata":[100],"Anastrepha":[102],"fraterculus,":[103],"using":[104],"digital":[105],"image":[106],"processing":[107],"machine":[109,156],"learning":[110],"techniques.":[111],"In":[112],"work,":[114],"was":[115],"built":[116],"dataset":[118],"collected":[120],"images":[121,125],"consisting":[122],"99":[124],"4338":[128],"regions":[129,136],"were":[130,169],"extracted.":[131],"Each":[132],"one":[133],"these":[135],"has":[137],"been":[138],"transformed":[139],"feature":[142],"vector":[143,155],"bag-of-words":[147],"model.":[148],"For":[149],"classification,":[151],"algorithms":[153],"support":[154],"(SVM),":[157],"k-nearest":[158],"neighbors":[159],"(KNN),":[160],"decision":[161],"tree":[162],"(DT)":[163],"Gaussian":[165],"Naive":[166],"Bayes":[167],"(GNB)":[168],"used.":[170],"SVM":[171],"performed":[172],"better":[173],"than":[174],"other":[175],"approaches,":[176],"achieving":[177],"accuracy":[179],"86.38%.":[181],"Due":[182],"satisfactory":[185],"accuracy,":[186],"it":[187,193],"possible":[189],"state":[191],"feasible":[195],"classify":[197],"different":[198],"traps.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}