A Stochastic Bayesian Artificial Intelligence Framework to Assess Climatological Water Balance under Missing Variables for Evapotranspiration Estimates
Vitor P. Ribeiro,
Luiz Desuó Neto,
Patricia A. A. Marques
et al.
Abstract:The sustainable use of water resources is of utmost importance given climatological changes and water scarcity, alongside the many socioeconomic factors that rely on clean water availability, such as food security. In this context, developing tools to minimize water waste in irrigation is paramount for sustainable food production. The evapotranspiration estimate is a tool to evaluate the water volume required to achieve optimal crop yield with the least amount of water waste. The Penman-Monteith equation is th… Show more
“…A Bayesian AI approach to evapotranspiration estimation was proposed by Ribeiro et al [2]. This approach represented a pivotal innovation in addressing data limitations in agricultural water management.…”
Section: Agricultural Water Resource Optimization and Managementmentioning
As the population continues to increase, the demand for food has never been greater, placing immense pressure on the sustainable management of land and water resources [...]
“…A Bayesian AI approach to evapotranspiration estimation was proposed by Ribeiro et al [2]. This approach represented a pivotal innovation in addressing data limitations in agricultural water management.…”
Section: Agricultural Water Resource Optimization and Managementmentioning
As the population continues to increase, the demand for food has never been greater, placing immense pressure on the sustainable management of land and water resources [...]
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