Automatically measuring early and late leaf spot lesions in peanut plants using digital image processing.

BARBEDO, J. G. A.

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Campo DC	Valor	Lengua/Idioma
dc.contributor.author	BARBEDO, J. G. A.	pt_BR
dc.date.accessioned	2013-11-21T11:11:11Z	pt_BR
dc.date.available	2013-11-21T11:11:11Z	pt_BR
dc.date.created	2013-11-21	pt_BR
dc.date.issued	2013	pt_BR
dc.identifier.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.	pt_BR
dc.identifier.uri	http://www.alice.cnptia.embrapa.br/alice/handle/doc/971748	pt_BR
dc.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.	pt_BR
dc.language.iso	eng	eng
dc.rights	openAccess	eng
dc.subject	Processamento de imagens	pt_BR
dc.subject	Medida de lesões	pt_BR
dc.subject	Image processing	pt_BR
dc.title	Automatically measuring early and late leaf spot lesions in peanut plants using digital image processing.	pt_BR
dc.type	Artigo em anais e proceedings	pt_BR
dc.date.updated	2020-01-22T11:11:11Z	pt_BR
dc.subject.nalthesaurus	Lesions (plant)	pt_BR
dc.subject.nalthesaurus	Image analysis	eng
dc.description.notes	SBIAgro 2013.	pt_BR
dc.format.extent2	Não paginado.	pt_BR
riaa.ainfo.id	971748	pt_BR
riaa.ainfo.lastupdate	2020-01-22 -02:00:00	pt_BR
dc.contributor.institution	JAYME GARCIA ARNAL BARBEDO, CNPTIA.	pt_BR
Aparece en las colecciones:	Artigo em anais de congresso (CNPTIA)

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