Sugarcane is one of the main agro-industrial products consumed worldwide, and, therefore, use suitable soils a key factor to maximize its production. As result, need evaluate soil matrices, including many physical, chemical, and biological parameters, determine soil’s aptitude for growing food crops increases. Machine learning techniques were used perform an in-depth analysis physicochemical in...