Reinforcement learning-based model predictive control for greenhouse climate control

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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Bibliographic Details
Main Authors: Samuel Mallick, Filippo Airaldi, Azita Dabiri, Congcong Sun, Bart De Schutter
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Smart Agricultural Technology
Subjects:
Greenhouse climate control
Model predictive control
Reinforcement learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375524003551
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