Artificial lighting represents a major source of energy consumption in greenhouse production, while optimal photosynthetic photon flux density (PPFD) requirements vary across space and time. This paper introduces a multi-digital twin adaptive lighting control framework in which multiple digital twins operate in parallel to evaluate heterogeneous control strategies under dynamic environmental conditions. Rather than relying on a single fixed controller, the system dynamically selects both the controller structure and its parameters by continuously simulating alternative control hypotheses at the edge. The proposed architecture is supported by an IoT-enabled communication infrastructure, integrating low-power sensor networks and IP-based actuator control to enable real-time interaction. Experimental validation in a real greenhouse demonstrates accurate multi-zone PPFD regulation and significant energy savings compared to a conventional on/off strategy.

DOI: https://doi.org/10.1109/NOMS69089.2026.11668164