Digital image processing and spectral data source in seed analysis

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorSchneider, Bruno de Oliveira-
Autor(es): dc.creatorAlves, Marcelo de Carvalho-
Data de aceite: dc.date.accessioned2026-02-09T11:18:54Z-
Data de disponibilização: dc.date.available2026-02-09T11:18:54Z-
Data de envio: dc.date.issued2020-09-03-
Data de envio: dc.date.issued2020-09-03-
Data de envio: dc.date.issued2019-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/42840-
Fonte completa do material: dc.identifierhttps://www.cabdirect.org/cabdirect/abstract/20203280833-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1138240-
Descrição: dc.descriptionImage processing is currently gaining lots of attention at seed quality labs as well as grain quality labs for being nondestructive, faster, and more objective than traditional seed or grain analysis methods. While seed analysts focus on quality parameters that will ensure vigorous plants, grain analysts focus on parameters related to safety or grading of the grain using roughly the same methods. We observed that few techniques on image processing have been used and that image data source roughly shapes research work done. The main data sources are visible light, hyperspectral imaging in the infrared section, and X-ray. Laser speckle is not so common but was also included. We have also noted that ultrasound imaging and magnetic resonance are also used for analysis, but these data sources were left out because of little work found.-
Idioma: dc.languageen-
Publicador: dc.publisherCABI-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceCAB Reviews-
Palavras-chave: dc.subjectImage analysis-
Palavras-chave: dc.subjectImage processing-
Palavras-chave: dc.subjectSeeds-
Palavras-chave: dc.subjectSeed quality-
Palavras-chave: dc.subjectGrain-
Palavras-chave: dc.subjectProcessamento digital de imagens-
Palavras-chave: dc.subjectAnálise de imagem-
Palavras-chave: dc.subjectSementes - Análise-
Palavras-chave: dc.subjectSementes - Qualidade-
Palavras-chave: dc.subjectGrãos-
Título: dc.titleDigital image processing and spectral data source in seed analysis-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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