Predicting bulk density in Brazilian soils for carbon stocks calculation: a comparative study of multiple linear regression and Random Forest models using continuous and categorical variables.

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Author(s): SANTOS, W. P. dos; VAZ, C. M. P.; MARTIN NETO, L.; ANSELMI, A.; TOMASELLA, J.; COSTA, F. de S.; ALBUQUERQUE, J. A.; LIER, Q. de J. van; GALBIERI, R.; PERINA, F. J.

Summary: The present study aims to develop pedotransfer functions for estimating ?b using stepwise multiple linear regression applied to soil properties from available databases, which are considered suitable predictors (PTF-1).

Publication year: 2025

Types of publication: Journal article

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