CV Lattes
ORCID
Abstract
The present project aims to develop advanced computational models to estimate bioenergy production from sugarcane in the state of São Paulo, using real data from various sources. The methodologies employed include Random Forest Regression (RFR), Support Vector Regression (SVR), and Deep Neural Networks (DNN). Initially, public datasets provided by different institutions will be explored v…