Machine learning approaches for the prediction of soil aggregate stability

Currently, many Pedotransfer Functions (PTFs) are being developed to predict certain soil properties worldwide, especially for difficult and time-consuming parameters to measure. However, very few studies have been done to assess the feasibility of using PTFs (regression or machine learning methods)...

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Detalles Bibliográficos
Autores principales: Bouslihim, Yassine, Rochdi, Aicha, El Amrani Paaza, Namira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7970365/
https://www.ncbi.nlm.nih.gov/pubmed/33748507
http://dx.doi.org/10.1016/j.heliyon.2021.e06480

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7970365/
https://www.ncbi.nlm.nih.gov/pubmed/33748507
http://dx.doi.org/10.1016/j.heliyon.2021.e06480

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