Machine Learning for Seed Quality Classification: An Advanced Approach Using Merger Data from FT-NIR Spectroscopy and X-ray Imaging

Optical sensors combined with machine learning algorithms have led to significant advances in seed science. These advances have facilitated the development of robust approaches, providing decision-making support in the seed industry related to the marketing of seed lots. In this study, a novel appro...

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Detalles Bibliográficos
Autores principales: de Medeiros, André Dantas, da Silva, Laércio Junio, Ribeiro, João Paulo Oliveira, Ferreira, Kamylla Calzolari, Rosas, Jorge Tadeu Fim, Santos, Abraão Almeida, da Silva, Clíssia Barboza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435829/
https://www.ncbi.nlm.nih.gov/pubmed/32756355
http://dx.doi.org/10.3390/s20154319

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435829/
https://www.ncbi.nlm.nih.gov/pubmed/32756355
http://dx.doi.org/10.3390/s20154319

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