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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Automatic identification of fruit flies (Diptera: Tephritidae)

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Author(s):
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]
Total Authors: 7
Affiliation:
[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
Total Affiliations: 4
Document type: Journal article
Source: JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION; v. 25, n. 7, p. 1516-1527, OCT 2014.
Web of Science Citations: 16
Abstract

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)

FAPESP's process: 10/14910-0 - Evidence-Fusion Methods for Multimedia Retrieval and Classification
Grantee:Fabio Augusto Faria
Support type: Scholarships in Brazil - Doctorate
FAPESP's process: 98/05085-2 - Species and interaction diversity in plants and phytophagous insects
Grantee:Thomas Michael Lewinsohn
Support type: BIOTA-FAPESP Program - Thematic Grants
FAPESP's process: 10/05647-4 - Digital forensics: collection, organization, classification and analysis of digital evidences
Grantee:Anderson de Rezende Rocha
Support type: Research Grants - Young Investigators Grants