Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/56784
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DC Field | Value | Language |
---|---|---|
dc.creator | A. A. Bernardes | |
dc.creator | J. G. Rogeri | |
dc.creator | N. Marranghello | |
dc.creator | A. S. Pereira | |
dc.creator | João Manuel R. S. Tavares | |
dc.creator | A. F. Araújo | |
dc.date.accessioned | 2019-02-01T04:02:06Z | - |
dc.date.available | 2019-02-01T04:02:06Z | - |
dc.date.issued | 2011 | |
dc.identifier.other | sigarra:60384 | |
dc.identifier.uri | https://repositorio-aberto.up.pt/handle/10216/56784 | - |
dc.description.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. | |
dc.language.iso | eng | |
dc.relation.ispartof | Computational Vision and Medical Image Processing: VipIMAGE 2011 | |
dc.rights | openAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | |
dc.subject | Processamento de imagem, Engenharia mecânica | |
dc.subject | Image processing, Mechanical engineering | |
dc.title | Identification of foliar diseases in cotton crop | |
dc.type | Artigo em Livro de Atas de Conferência Internacional | |
dc.contributor.uporto | Faculdade de Engenharia | |
dc.subject.fos | Ciências da engenharia e tecnologias::Engenharia mecânica | |
dc.subject.fos | Engineering and technology::Mechanical engineering | |
Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Internacional |
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