Predicting the quality of soybean seeds stored in different environments and packaging using machine learning

The monitoring and evaluating the physical and physiological quality of seeds throughout storage requires technical and financial resources and is subject to sampling and laboratory errors. Therefore, machine learning (ML) techniques could help optimize the processes and obtain accurate results for...

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Detalles Bibliográficos
Autores principales: da Silva André, Geovane, Coradi, Paulo Carteri, Teodoro, Larissa Pereira Ribeiro, Teodoro, Paulo Eduardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9132987/
https://www.ncbi.nlm.nih.gov/pubmed/35614333
http://dx.doi.org/10.1038/s41598-022-12863-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9132987/
https://www.ncbi.nlm.nih.gov/pubmed/35614333
http://dx.doi.org/10.1038/s41598-022-12863-5

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