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Fruit Fly Identification (Diptera: Tephritidae)

Authors: Matheus M. Leonardo and Dra. Paula Perre and Prof. Dr. Roberto Zucchi and Prof. Dr. Fabio A. Faria
Fruit flies are of huge biological and economic importance for the farming of different countries in the World, especially for Brazil. Brazil is the third largest fruit producer in the world with 44 million tons in 2016. The direct and indirect losses caused by fruit flies can exceed USD 2 billion, putting these pests as one of the biggest problems of the world agriculture. In Brazil, it is estimated that the economic losses directly related to production, the cost of pest control and in the loss of export markets, are between USD 120 and 200 million/year. The species of the genus Anastrepha are among the fruit flies economically important in the America tropics and subtropics with approximately 300 known species, of which 120 are recorded in Brazil. However, few species are economically important in Brazil and are considered pests of quarantine significance by regulatory agencies. In this sense, the development of automatic and semi-automatic tools for fruit fly species identification of the genus Anastrepha can assist the few existing specialists to reduce the insect analysis time and the economic losses related to these agricultural pests.

   Abstract

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   Published Papers

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  • LEONARDO, M. M. ; FARIA, FABIO A. . Um Sistema de Reconhecimento de Espécies de Moscas-das-Frutas. Revista Eletrônica de Iniciação Científica, v. 17, p. 1, 2019. [link]
  • Matheus Macedo Leonardo. Buscando Robustez em Sistema de Classificação de Espécies de Moscas-das-frutas (Diptera: Tephritidae). 2019. Trabalho de Conclusão de Curso. (Graduação em Ciência da Computação) - Universidade Federal de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico. Orientador: Fabio Augusto Faria. [link]
  • LEONARDO, MATHEUS MACEDO ; CARVALHO, TIAGO J. ; REZENDE, EDMAR ; ZUCCHI, ROBERTO ; FARIA, Fabio Augusto . Deep Feature-Based Classifiers for Fruit Fly Identification (Diptera: Tephritidae). In: 2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2018, Parana. 2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2018. p. 41. [link]
  • LEONARDO, MATHEUS MACEDO ; AVILA, SANDRA ; ZUCCHI, ROBERTO A. ; FARIA, FABIO A. . Mid-level Image Representation for Fruit Fly Identification (Diptera: Tephritidae). In: 2017 IEEE 13th International Conference on eScience (eScience), 2017, Auckland. 2017 IEEE 13th International Conference on e-Science (e-Science), 2017. p. 202. [link]
  • PERRE, P. ; FARIA, F.A. ; JORGE, L.R. ; ROCHA, A. ; TORRES, R. S. ; LEWINSOHN, T. ; ZUCCHI, R. A. . Toward an Automated Identification of Anastrepha Fruit Flies in the fraterculus group (Diptera, Tephritidae). Neotropical Entomology (Impresso), v. o, p. 1-5, 2016. [link]
  • FARIA, F.A.; PERRE, P. ; ZUCCHI, R.A. ; JORGE, L.R. ; LEWINSOHN, T.M. ; ROCHA, A. ; TORRES, R. DA S. . Automatic identification of fruit flies (Diptera: Tephritidae). Journal of Visual Communication and Image Representation (Print), v. 25, p. 1516-1527, 2014. [link]

  Code and Datasets

Wings - SIBGRAPI2018 [link]

   Acknowledge

The authors would like to thank the research funding agencies CAPES, CNPq through the Universal Project (grant #408919/2016-7), and the support of NVIDIA Corporation with the donation of the GPUs used for this research.

Background image has been extracted from www.agricultura.sp.gov.br.

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