Abstract
The main goal of this project is to perform quantitative soil maps for agricultural areas in São Paulo State, Brazil, using proximal and remote sensing data, coupled with pedo-transfer functions and machine learning algorithms. The mapping level will be evaluated according to the final assertiveness, since the sampling density for detail levels is not standardized for digital mapping meth…