@InProceedings{SilvaFonsKört:2016:BaNeMo,
               author = "Silva, Alexsandro C{\^a}ndido de Oliveira and Fonseca, Leila 
                         Maria Garcia and K{\"o}rting, Thales Sehn",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Bayesian network model to predict areas for sugarcane expansion in 
                         Brazilian Cerrado",
            booktitle = "Anais...",
                 year = "2016",
         organization = "Brazilian Symposium on GeoInformatics, 17. (GEOINFO)",
             abstract = "The growing demand for ethanol has powered the shift of the 
                         sugarcane frontier into the Brazilian Cerrado, mainly in the 
                         states of Goi{\'a}s and Mato Grosso do Sul. Therefore, this study 
                         aims to propose Bayesian Network models for identifying potential 
                         areas for sugarcane expansion in Goi{\'a}s 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.",
  conference-location = "Campos do Jord{\~a}o, SP",
      conference-year = "27-30 nov. 2016",
             language = "en",
                  ibi = "8JMKD3MGP3W34P/3N2UABL",
                  url = "http://urlib.net/ibi/8JMKD3MGP3W34P/3N2UABL",
           targetfile = "216-227silva-1.pdf",
        urlaccessdate = "27 abr. 2024"
}