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Título: | Digital image processing and spectral data source in seed analysis |
Palavras-chave: | Image analysis Image processing Seeds Seed quality Grain Processamento digital de imagens Análise de imagem Sementes - Análise Sementes - Qualidade Grãos |
Data do documento: | 2020 |
Editor: | CABI |
Citação: | SCHNEIDER, B. de O.; ALVES, M. de C. Digital image processing and spectral data source in seed analysis. CAB Reviews, Wallingford, n. 40, p. 1-6, 2020. DOI: 10.1079/PAVSNNR202015040. |
Resumo: | Image 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. |
URI: | https://www.cabdirect.org/cabdirect/abstract/20203280833 http://repositorio.ufla.br/jspui/handle/1/42840 |
Aparece nas coleções: | DEA - Artigos publicados em periódicos DEG - Artigos publicados em periódicos |
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