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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)...
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| Publicado no: | Heliyon |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7970365/ https://ncbi.nlm.nih.gov/pubmed/33748507 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.heliyon.2021.e06480 |
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