most citedIntegrating machine learning paradigms and mixed-integer model predictive control for irrigation scheduling

10 citations · 10 across the 1 of their papers we have counts for

collaborators

1 paper

eess.SY2023★ 10 cited

Integrating machine learning paradigms and mixed-integer model predictive control for irrigation scheduling

Bernard T. Agyeman, Mohamed Naouri, Willemijn Appels +2

The agricultural sector currently faces significant challenges in water resource conservation and crop yield optimization, primarily due to concerns over freshwater scarcity. Tradi…