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

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 develop distin...

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Detalles Bibliográficos
Autores principales: Barboza da Silva, Clíssia, Oliveira, Nielsen Moreira, de Carvalho, Marcia Eugenia Amaral, de Medeiros, André Dantas, de Lima Nogueira, Marina, dos Reis, André Rodrigues
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426380/
https://www.ncbi.nlm.nih.gov/pubmed/34497292
http://dx.doi.org/10.1038/s41598-021-97223-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426380/
https://www.ncbi.nlm.nih.gov/pubmed/34497292
http://dx.doi.org/10.1038/s41598-021-97223-5

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