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Integrating machine learning paradigms and mixed-integer model predictive control for irrigation scheduling
The results demonstrate the superiority of the proposed scheduler compared to a traditional irrigation scheduling method in terms of water use efficiency and crop yield improvement for both growing seasons.
Maximizing soil moisture estimation accuracy through simultaneous hydraulic parameter estimation using microwave remote sensing: Methodology and application
Improving the accuracy of soil moisture estimation is desirable from the perspectives of irrigation management and water conservation.
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