Identification of foliar diseases in cotton crop

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, Joao Manuel R. S.
dc.contributor.authorTavares, JMRS
dc.contributor.authorJorge, RMN
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionFEUP
dc.date.accessioned2020-12-10T19:33:18Z
dc.date.available2020-12-10T19:33:18Z
dc.date.issued2012-01-01
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.en
dc.description.affiliationUNESP, Sao Paulo State Univ, IBILCE, Dept Comp Sci & Stat, Sao Jose Do Rio Preto, SP, Brazil
dc.description.affiliationFEUP, Inst Mech Engn & Ind Management INEGI, Dept Mech Engn DeMec, Oporto, Portugal
dc.description.affiliationUnespUNESP, Sao Paulo State Univ, IBILCE, Dept Comp Sci & Stat, Sao Jose Do Rio Preto, SP, Brazil
dc.description.sponsorshipFundação para o Desenvolvimento da UNESP (FUNDUNESP)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.format.extent193-197
dc.identifier.citationComputational Vision And Medical Image Processing: Vipimage 2011. Boca Raton: Crc Press-taylor & Francis Group, p. 193-197, 2012.
dc.identifier.urihttp://hdl.handle.net/11449/196097
dc.identifier.wosWOS:000392382300037
dc.language.isoeng
dc.publisherCrc Press-taylor & Francis Group
dc.relation.ispartofComputational Vision And Medical Image Processing: Vipimage 2011
dc.sourceWeb of Science
dc.titleIdentification of foliar diseases in cotton cropen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://journalauthors.tandf.co.uk/permissions/reusingOwnWork.asp
dcterms.rightsHolderCrc Press-taylor & Francis Group

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