@InProceedings{LeonardoFari:2017:MiImRe,
author = "Leonardo, Matheus Macedo and Faria, Fabio Augusto",
affiliation = "{Federal University of Sao Paulo} and {Federal University of Sao
Paulo}",
title = "Mid-level Image Representation for Fruit Crop Pest
Identification",
booktitle = "Proceedings...",
year = "2017",
editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and
Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and
Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba,
Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo
and Vital, Creto and Pagot, Christian Azambuja and Petronetto,
Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "fruit fly, local descriptor, insect recognition, image
classification.",
abstract = "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. We propose to
apply mid-level image representations based on local descriptors
for fruit fly identification tasks of three species of the genus
Anastrepha. In our experiments, several local image descriptors
based on keypoints and machine learning techniques have been
compared in the target task. Furthermore, the proposed approaches
have achieved excellent effectiveness results when compared with a
state-of-art technique.",
conference-location = "Niter{\'o}i, RJ, Brazil",
conference-year = "17-20 Oct. 2017",
language = "en",
ibi = "8JMKD3MGPAW/3PJ4KFL",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3PJ4KFL",
targetfile = "wuw-moscas.pdf",
urlaccessdate = "2024, Apr. 29"
}