Deep Reinforcement Learning for Adaptive Temperature Control in Greenhouses: A DQN-Based Framework and Experimental Evaluation
Abstract The integration of artificial intelligence into controlled environment agriculture represents a transformative opportunity for addressing global food security challenges while promoting sustainable resource utilisation. This paper presents a comprehensive Reinforcement Learning (RL) framework for optimizing gr...
Priyanshi Kumari, Hamed Laouz, Shahana Bano
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