@InProceedings{LinsRied:2017:MeCoCl,
author = "Lins, Elison Alfeu and Rieder, Rafael",
affiliation = "{Universidade de Passo Fundo} and {Universidade de Passo Fundo}",
title = "Uma metodologia de contagem e classifica{\c{c}}{\~a}o de
af{\'{\i}}deos utilizando vis{\~a}o computacional",
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 = "OpenCv, tensorflow, aphids, counting, classification.",
abstract = "AbstractAphids are insects that attack crops and cause damage
directly, consuming the sap of plants, and indirectly, transmiting
diseases. The counting and classification of these insects are
fundamental for measuring and predicting crop hazards and serving
as the basis for the application or not of chemicals.
Traditionally, the counting process is manual, and depends of
microscopes and good eyesight of the specialist, in a
time-consuming task susceptible to errors. With this in mind, this
paper presents a methodology and a software to automate the
counting and classification of aphids using image processing,
computer vision and deep learning methods. As preliminary results
in a pilot study, we obtained 95.50 % correlation for the count of
28 samples containing Rhopalosiphum padi, in shortest time
compared the manual method.",
conference-location = "Niter{\'o}i, RJ, Brazil",
conference-year = "17-20 Oct. 2017",
language = "pt",
ibi = "8JMKD3MGPAW/3PJ8FTL",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3PJ8FTL",
targetfile = "2017_sibgrapi_WIP_Elison.pdf",
urlaccessdate = "2024, Apr. 28"
}