Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/56784
Author(s): A. A. Bernardes
J. G. Rogeri
N. Marranghello
A. S. Pereira
João Manuel R. S. Tavares
A. F. Araújo
Title: Identification of foliar diseases in cotton crop
Issue Date: 2011
Abstract: The pathogens manifestation in plantations are the largest cause of damage in several cultivars, which may cause increase of prices and loss of crop quality. This paper presents a method for automatic classification of cotton diseases through feature extraction of leaf symptoms from digital images. Wavelet transform energy has been used for feature extraction while Support Vector Machine has been used for classification. Five situations have been diagnosed, namely: Healthy crop, Ramularia disease, Bacterial Blight, Ascochyta Blight, and unspecified disease.
Subject: Processamento de imagem, Engenharia mecânica
Image processing, Mechanical engineering
Scientific areas: Ciências da engenharia e tecnologias::Engenharia mecânica
Engineering and technology::Mechanical engineering
URI: https://repositorio-aberto.up.pt/handle/10216/56784
Source: Computational Vision and Medical Image Processing: VipIMAGE 2011
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: openAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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