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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| 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 |