Identification of foliar diseases in cotton crop

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

Bernardes, AA (Author) Other; Rogeri, JG (Author) Other; Marranghello, N (Author) Other; Pereira, AS (Author) Other; Araujo, AF (Author) Other; João Manuel R. S. Tavares (Author) FEUP

Conference proceedings International

Title: Computational Vision and Medical Image Processing: VipIMAGE 2011

Pages: 193-197

III ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing: VipIMAGE 2011

Olhão, Portugal, 14-14 October 2011

Indexing

Scopus - 2 Citations

Other information

Authenticus ID: P-008-2A6

Abstract (EN): 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. © 2012 Taylor & Francis Group.

Language: English

Type (Professor's evaluation): Scientific