Identification of foliar diseases in cotton crop

Detalhes bibliográficos
Autor(a) principal: A. A. Bernardes
Data de Publicação: 2011
Outros Autores: J. G. Rogeri, N. Marranghello, A. S. Pereira, João Manuel R. S. Tavares, A. F. Araújo
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://repositorio-aberto.up.pt/handle/10216/56784
Resumo: 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.
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spelling Identification of foliar diseases in cotton cropProcessamento de imagem, Engenharia mecânicaImage processing, Mechanical engineeringThe 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.20112011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://repositorio-aberto.up.pt/handle/10216/56784engA. A. BernardesJ. G. RogeriN. MarranghelloA. S. PereiraJoão Manuel R. S. TavaresA. F. Araújoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T12:57:02Zoai:repositorio-aberto.up.pt:10216/56784Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:30:15.172094Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Identification of foliar diseases in cotton crop
title Identification of foliar diseases in cotton crop
spellingShingle Identification of foliar diseases in cotton crop
A. A. Bernardes
Processamento de imagem, Engenharia mecânica
Image processing, Mechanical engineering
title_short Identification of foliar diseases in cotton crop
title_full Identification of foliar diseases in cotton crop
title_fullStr Identification of foliar diseases in cotton crop
title_full_unstemmed Identification of foliar diseases in cotton crop
title_sort Identification of foliar diseases in cotton crop
author A. A. Bernardes
author_facet A. A. Bernardes
J. G. Rogeri
N. Marranghello
A. S. Pereira
João Manuel R. S. Tavares
A. F. Araújo
author_role author
author2 J. G. Rogeri
N. Marranghello
A. S. Pereira
João Manuel R. S. Tavares
A. F. Araújo
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv A. A. Bernardes
J. G. Rogeri
N. Marranghello
A. S. Pereira
João Manuel R. S. Tavares
A. F. Araújo
dc.subject.por.fl_str_mv Processamento de imagem, Engenharia mecânica
Image processing, Mechanical engineering
topic Processamento de imagem, Engenharia mecânica
Image processing, Mechanical engineering
description 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.
publishDate 2011
dc.date.none.fl_str_mv 2011
2011-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/book
format book
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio-aberto.up.pt/handle/10216/56784
url https://repositorio-aberto.up.pt/handle/10216/56784
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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