Identification of foliar diseases in cotton crop

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dc.contributor.authorBernardes, A. A. [UNESP]
dc.contributor.authorRogeri, J. G. [UNESP]
dc.contributor.authorMarranghello, N. [UNESP]
dc.contributor.authorPereira, A. S. [UNESP]
dc.contributor.authorAraujo, A. F.
dc.contributor.authorTavares, João Manuel R. S.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionInstitute of Mechanical Engineering and Industrial Management (INEGI)
dc.date.accessioned2014-05-27T11:26:23Z
dc.date.available2014-05-27T11:26:23Z
dc.date.issued2012-02-13
dc.description.abstractThe 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.en
dc.description.affiliationDepartment of Computer Science and Statistics IBILCE Sao Paulo State University ( UNESP), Sao Jose do Rio Preto-SP
dc.description.affiliationDepartment of Mechanical Engineering (DeMec) University of Porto (FEUP) Institute of Mechanical Engineering and Industrial Management (INEGI), Porto
dc.description.affiliationUnespDepartment of Computer Science and Statistics IBILCE Sao Paulo State University ( UNESP), Sao Jose do Rio Preto-SP
dc.format.extent193-197
dc.identifierhttp://dx.doi.org/10.1007/978-94-007-0726-9_4
dc.identifierhttp://hdl.handle.net/10216/56784
dc.identifier.citationComputational Vision and Medical Image Processing, Proceedings of VipIMAGE 2011 - 3rd ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, p. 193-197.
dc.identifier.doi10.1007/978-94-007-0726-9_4
dc.identifier.lattes2098623262892719
dc.identifier.lattes9667295076549924
dc.identifier.orcid0000-0003-1086-3312
dc.identifier.scopus2-s2.0-84856703865
dc.identifier.urihttp://hdl.handle.net/11449/73186
dc.language.isoeng
dc.relation.ispartofComputational Vision and Medical Image Processing, Proceedings of VipIMAGE 2011 - 3rd ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectAscochyta blight
dc.subjectAutomatic classification
dc.subjectBacterial blight
dc.subjectCrop quality
dc.subjectDigital image
dc.subjectFoliar disease
dc.subjectCotton
dc.subjectDamage detection
dc.subjectFeature extraction
dc.subjectImage processing
dc.subjectMedical image processing
dc.subjectPlants (botany)
dc.subjectCrops
dc.titleIdentification of foliar diseases in cotton cropen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.springer.com/open+access/authors+rights
unesp.author.lattes2098623262892719
unesp.author.lattes9667295076549924
unesp.campusUniversidade Estadual Paulista (Unesp), Instituto de Biociências Letras e Ciências Exatas, São José do Rio Pretopt

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