Machine Learning Applications and Optimization of Clustering Methods Improve the Selection of Descriptors in Blackberry Germplasm Banks

Machine learning (ML) and its multiple applications have comparative advantages for improving the interpretation of knowledge on different agricultural processes. However, there are challenges that impede proper usage, as can be seen in phenotypic characterizations of germplasm banks. The objective...

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Detalles Bibliográficos
Autores principales: Henao-Rojas, Juan Camilo, Rosero-Alpala, María Gladis, Ortiz-Muñoz, Carolina, Velásquez-Arroyo, Carlos Enrique, Leon-Rueda, William Alfonso, Ramírez-Gil, Joaquín Guillermo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7911707/
https://www.ncbi.nlm.nih.gov/pubmed/33525314
http://dx.doi.org/10.3390/plants10020247

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7911707/
https://www.ncbi.nlm.nih.gov/pubmed/33525314
http://dx.doi.org/10.3390/plants10020247

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