Automatic identification of fruit flies (Diptera: Tephritidae)

Autor(es)

Faria, F. A. ^[1] ; Perre, P. ^[2] ; Zucchi, R. A. ^[3] ; Jorge, L. R. ^[4] ; Lewinsohn, T. M. ^[4] ; Rocha, A. ^[1] ; Torres, R. da S. ^[1]

Afiliação do(s) autor(es)

^[1] Univ Estadual Campinas, Inst Comp, Campinas, SP - Brazil

^[2] Univ Sao Paulo, Dept Genet & Evolutionary Biol, BR-05508 Sao Paulo - Brazil

^[3] Univ Sao Paulo, Luiz de Queiroz Coll Agr, BR-05508 Sao Paulo - Brazil

^[4] Univ Estadual Campinas, Inst Biol, Campinas, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION; v. 25, n. 7, p. 1516-1527, OCT 2014.
• Citações Web of Science: 16

Resumo

Fruit flies are pests of major economic importance in agriculture. Among these pests it is possible to highlight some species of genus Anastrepha, which attack a wide range of fruits, and are widely distributed in the American tropics and subtropics. Researchers seek to identify fruit flies in order to implement management and control programs as well as quarantine restrictions. However, fruit fly identification is manually performed by scarce specialists through analysis of morphological features of the mesonotum, wing, and aculeus. Our objective is to find solid knowledge that can serve as a basis for the development of a sounding automatic identification system of the Anastrepha fraterculus group, which is of high economic importance in Brazil. Wing and aculeus images datasets from three specimens have been used in this work. The experiments using a classifier multimodal fusion approach shows promising effectiveness results for identification of these fruit flies, with more than 98% classification accuracy, a remarkable result for this difficult problem. (C) 2014 Elsevier Inc. All rights reserved. (AU)

• Processo FAPESP: 98/05085-2 - Diversidade e interação de espécies em plantas e insetos fitófagos
• Beneficiário: Thomas Michael Lewinsohn
• Modalidade de apoio: Auxílio à Pesquisa - Programa BIOTA - Temático
• Processo FAPESP: 10/14910-0 - Métodos de Fusão de Evidências para Recuperação e Classificação Multimídia
• Beneficiário: Fabio Augusto Faria
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 09/54806-0 - Estruturacao da variabilidade fenotipica em insetos fitofagos
• Beneficiário: Leonardo Ré Jorge
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 10/05647-4 - Computação forense e criminalística de documentos: coleta, organização, classificação e análise de evidências
• Beneficiário: Anderson de Rezende Rocha
• Modalidade de apoio: Auxílio à Pesquisa - Jovens Pesquisadores