Automatic method for counting and measuring whiteflies in soybean leaves using digital image processing.

BARBEDO, J. G. A.

Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/971742

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Campo DC	Valor	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/971742	pt_BR
dc.description	Abstract. This paper presents an automatic method based on digital image processing for analyzing the leaves of soybean plants hosting whiteflies. The method is capable not only of counting and measuring whitefly nymphs and adults, but it is also capable of counting and measuring empty whitefly exoskele- tons, as well as lesions that may be present in the leaf. The approach used in the algorithm is very simple, employing color model transformations to isolate the elements of interest in the image, and mathematical morphology to fine tune the results. This approach provides very accurate estimates under the tested conditions, and preliminary tests have shown that the algorithm is flexible enough to be used in other situations with only a few minor adjustments.	pt_BR
dc.language.iso	eng	eng
dc.rights	openAccess	eng
dc.subject	Processamento de imagens digitais	pt_BR
dc.subject	Processamento digital de sinais	pt_BR
dc.subject	Método automático	pt_BR
dc.subject	Image processing	pt_BR
dc.title	Automatic method for counting and measuring whiteflies in soybean leaves 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.thesagro	Mosca Branca	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	971742	pt_BR
riaa.ainfo.lastupdate	2020-01-22 -02:00:00	pt_BR
dc.contributor.institution	JAYME GARCIA ARNAL BARBEDO, CNPTIA.	pt_BR
Aparece nas coleções:	Artigo em anais de congresso (CNPTIA)

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