Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/971748
Title: Automatically measuring early and late leaf spot lesions in peanut plants using digital image processing.
Authors: BARBEDO, J. G. A.
Affiliation: JAYME GARCIA ARNAL BARBEDO, CNPTIA.
Date Issued: 2013
Citation: In: CONGRESSO BRASILEIRO DE AGROINFORMÁTICA, 9., 2013, Cuiabá. Agroinformática: inovação para a sustentabilidade do agronegócio brasileiro: anais. Cuiabá: Universidade Federal de Mato Grosso, 2013.
Pages: Não paginado.
Description: Abstract. This paper presents a method to measure the lesions originated by the Cercospora arachidicola and Cercosporidium personatum fungi, which cause, respectively, the early and late leaf spots in peanut plants. The proposed method is based on a modified version of a previous proposal by the author, and uses mainly well-known image processing techniques, as well as specialist knowledge, to separate lesions from healthy tissue. The resulting tool provides good area estimates with minimum user interference and low computational burden.
NAL Thesaurus: Lesions (plant)
Image analysis
Keywords: Processamento de imagens
Medida de lesões
Image processing
Notes: SBIAgro 2013.
Type of Material: Artigo em anais e proceedings
Access: openAccess
Appears in Collections:Artigo em anais de congresso (CNPTIA)

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