Toward an Automated Identification of Anastrepha Fruit Flies in the fraterculus group (Diptera, Tephritidae)

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dc.citation.issue5
dc.citation.volume45
dc.contributor.authorPerre, P.
dc.contributor.authorFaria, Fabio Augusto [UNIFESP]
dc.contributor.authorJorge, L. R.
dc.contributor.authorRocha, A.
dc.contributor.authorTorres, Ricardo da Silva
dc.contributor.authorSouza-Filho, M. F.
dc.contributor.authorLewinsohn, T. M.
dc.contributor.authorZucchi, Roberto Antonio
dc.coverageLondrina,
dc.date.accessioned2020-07-31T12:47:40Z
dc.date.available2020-07-31T12:47:40Z
dc.date.issued2016
dc.description.abstractIn this study, we assess image analysis techniques as automatic identifiers of three Anastrepha species of quarantine importance, Anastrepha fraterculus (Wiedemann), Anastrepha obliqua (Macquart), and Anastrepha sororcula Zucchi, based on wing and aculeus images. The right wing and aculeus of 100 individuals of each species were mounted on microscope slides, and images were captured with a stereomicroscope and light microscope. For wing image analysis, we used the color descriptor Local Color Histogramen
dc.description.abstractfor aculei, we used the contour descriptor Edge Orientation Autocorrelogram. A Support Vector Machine classifier was used in the final stage of wing and aculeus classification. Very accurate species identifications were obtained based on wing and aculeus images, with average accuracies of 94 and 95%, respectively. These results are comparable to previous identification results based on morphometric techniques and to the results achieved by experienced entomologists. Wing and aculeus images produced equally accurate classifications, greatly facilitating the identification of these species. The proposed technique is therefore a promising option for separating these three closely related species in the fraterculus group.en
dc.description.affiliationUniv Sao Paulo, Dept Genectis & Evolutionary Biol, Sao Paulo, SP, Brazil
dc.description.affiliationUniv Fed Sao Paulo, Inst Sci & Technol, Sao Jose Dos Campos, SP, Brazil
dc.description.affiliationUniv Estadual Campinas, Inst Biol, Dept Anim Biol, Campinas, SP, Brazil
dc.description.affiliationUniv Estadual Campinas, Inst Comp, Campinas, SP, Brazil
dc.description.affiliationAPTA, Inst Biol, Econ Entomol Lab, Campinas, SP, Brazil
dc.description.affiliationUnifespInstitute of Science and Technology, Universidade Federal de São Paulo (UNIFESP), São José dos Campos, Brasil
dc.description.sourceWeb of Science
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIDFAPESP: 09/54806-0
dc.description.sponsorshipIDFAPESP: 14/16082-9
dc.format.extent554-558
dc.identifierhttp://dx.doi.org/10.1007/s13744-016-0403-0
dc.identifier.citationNeotropical Entomology. Londrina,, v. 45, n. 5, p. 554-558, 2016.
dc.identifier.doi10.1007/s13744-016-0403-0
dc.identifier.issn1519-566X
dc.identifier.urihttps://repositorio.unifesp.br/handle/11600/56985
dc.identifier.wosWOS:000386379200012
dc.language.isoeng
dc.publisherEntomological Soc Brasil
dc.relation.ispartofNeotropical Entomology
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectIdentificationen
dc.subjectimage analysisen
dc.subjectmachine learningen
dc.titleToward an Automated Identification of Anastrepha Fruit Flies in the fraterculus group (Diptera, Tephritidae)en
dc.typeinfo:eu-repo/semantics/article
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