Abstract
The growing demand for ethanol has powered the shift of the sugarcane frontier into the Brazilian Cerrado, mainly in the states of Goiás and Mato Grosso do Sul. Therefore, this study aims to propose Bayesian Network models for identifying potential areas for sugarcane expansion in Goiás and Mato Grosso do Sul states. The models take into account constraint factors in relation to the sugarcane expansion such as topography, soil aptitude, climate conditions, and available infrastructures. Results showed that Bayesian Network models proposed in this study were able to represent the tendency of sugarcane expansion.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
