Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/65850
Author(s): Alexandre A. Bernardes
Jonathan G. Rogeri
Roberta B. Oliveira
Norian Marranghello
Aledir S. Pereira
Alex F. Araujo
João Manuel R.S. Tavares
Title: Identification of Foliar Diseases in Cotton Crop
Issue Date: 2013
Abstract: The manifestation of pathogens in plantations is the most important cause of losses in several crops. These usually represent less income to the farmers due to the lower product quality as well as higher prices to the consumer due to the smaller offering of goods. The sooner the disease is identified the sooner one can control it through the use of agrochemicals, avoiding great damages to the plantation. This chapter introduces a method for the automatic classification of cotton diseases based on the feature extraction of foliar symptoms from digital images. The method uses the energy of the wavelet transform for feature extraction and a Support Vector Machine for the actual classification. Five possible diagnostics are provided: 1) healthy (SA), 2) injured with Ramularia disease (RA), 3) infected with Bacterial Blight (MA), 4) infected with Ascochyta Blight (AS), or 5) possibly infected with an unknown disease.
Subject: Ciências Tecnológicas, Ciências da engenharia e tecnologias
Technological sciences, Engineering and technology
Scientific areas: Ciências da engenharia e tecnologias
Engineering and technology
URI: https://repositorio-aberto.up.pt/handle/10216/65850
Source: Topics in Medical Image Processing and Computational Vision
Document Type: Capítulo ou Parte de Livro
Rights: openAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FEUP - Capítulo ou Parte de Livro

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