Autofluorescence-spectral imaging as an innovative method for rapid, non-destructive and reliable assessing of soybean seed quality

Abstract In the agricultural industry, advances in optical imaging technologies based on rapid and non-destructive approaches have contributed to increase food production for the growing population. The present study employed autofluorescence-spectral imaging and machine learning algorithms to devel...

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Autores principales: Clíssia Barboza da Silva, Nielsen Moreira Oliveira, Marcia Eugenia Amaral de Carvalho, André Dantas de Medeiros, Marina de Lima Nogueira, André Rodrigues dos Reis
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/a90f3172aea8441bab2fc16a922dcbab
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