TinyML & Reinforcement Learning: Optimizing Greenhouse Lighting for Energy Efficiency

This research explores a practical application of TinyML and reinforcement learning to address energy consumption in greenhouse systems, demonstrating a tangible use case for AI in sustainable agriculture. The paper's focus on low-cost systems suggests potential for wider adoption and impact.