Zobrazeno 1 - 10
of 496
pro vyhledávání: '"Shah, Sirish. L."'
Efficient water management in agriculture is important for mitigating the growing freshwater scarcity crisis. Mixed-integer Model Predictive Control (MPC) has emerged as an effective approach for addressing the complex scheduling problems in agricult
Externí odkaz:
http://arxiv.org/abs/2409.12082
This paper proposes a Semi-Centralized Multi-Agent Reinforcement Learning (SCMARL) approach for irrigation scheduling in spatially variable agricultural fields, where management zones address spatial variability. The SCMARL framework is hierarchical
Externí odkaz:
http://arxiv.org/abs/2408.08442
The agricultural sector currently faces significant challenges in water resource conservation and crop yield optimization, primarily due to concerns over freshwater scarcity. Traditional irrigation scheduling methods often prove inadequate in meeting
Externí odkaz:
http://arxiv.org/abs/2306.08715
Autor:
Agyeman, Bernard T., Orouskhani, Erfan, Naouri, Mohamed, Appels, Willemijn, Wolleben, Maik, Liu, Jinfeng, Shah, Sirish L.
Improving the accuracy of soil moisture estimation is desirable from the perspectives of irrigation management and water conservation. To this end, this study proposes a systematic approach to select a subset of soil hydraulic parameters for estimati
Externí odkaz:
http://arxiv.org/abs/2305.15549
Publikováno v:
In Control Engineering Practice February 2025 155
The development of well-devised irrigation scheduling methods is desirable from the perspectives of plant quality and water conservation. In this article, a model predictive control (MPC) with discrete actuators is developed for irrigation scheduling
Externí odkaz:
http://arxiv.org/abs/2112.06352
Publikováno v:
In Control Engineering Practice June 2024 147
Publikováno v:
In Control Engineering Practice February 2024 143
Autor:
Garcés, Hugo O., Aballay, Bastián, Mohan Rao, Harikrishna Rao, Chen, Tongwen, Shah, Sirish L.
Publikováno v:
In IFAC PapersOnLine 2024 58(14):847-854
Publikováno v:
In IFAC PapersOnLine 2024 58(14):145-150