Optimizing Irrigation through a Novel Framework Combining Physical Processes with Model-Based Deep Reinforcement Learning

Panthi, Krishna

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Abstract: Optimizing Irrigation through a Novel Framework Combining Physical Processes with Model-Based Deep Reinforcement Learning (AGU25)

Optimizing Irrigation through a Novel Framework Combining Physical Processes with Model-Based Deep Reinforcement Learning

Krishna Panthi, Clemson University, School of Computing, Clemson, SC, United States, Vidya Samadi, Clemson University, Department of Agricultural Sciences, Clemson, SC, United States and Carlos Toxtli, Clemson University, School of Computing, Clemson, United States