10 citations · 11 across the 2 of their papers we have counts for
2 papers
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…
eess.SY2023★ 1 cited
Sensitivity-Informed Parameter Selection for Improved Soil Moisture Estimation from Remote Sensing Data
Bernard T. Agyeman, Erfan Orouskhani, Mohamed Naouri +4
Improving the accuracy of soil moisture estimation is required for advancing irrigation scheduling and water conservation efforts. Central to this task are soil hydraulic parameter…