Reinforcement learning-based model predictive control for greenhouse climate control
Greenhouse climate control is concerned with maximizing performance in terms of crop yield and resource efficiency. One promising approach is model predictive control (MPC), which leverages a model of the system to optimize the control inputs, while enforcing physical constraints. However, predictio...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2025-03-01
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| Col·lecció: | Smart Agricultural Technology |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S2772375524003551 |
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