Fig. 4: A schematic illustration of a Digital Twin (DT) framework for CEA.
From: Finding sustainable, resilient, and scalable solutions for future indoor agriculture
The DT framework integrates computer vision-based crop monitoring, edge and cloud data processing, AI-driven climate and growth prediction models, and Bayesian optimization for dynamic climate control. Real-time data acquisition and feedback enable continuous model calibration, facilitating adaptive resource management, crop growth forecasting, and energy optimization under variable environmental conditions.
