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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)...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| 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 |