Cornell University researchers have developed an integrated control framework for agrivoltaic systems that optimizes solar panel tilt angles based on past and future conditions. This framework combines proactive decision-making with reactive strategies to maximize energy production while meeting crop light requirements, outperforming existing methods by reducing light deficits in crops and increasing energy production. The framework is designed to be adaptable across different crops, climates, and system configurations, making it a valuable tool for software developers and solar operators. This solution, outlined in the journal Solar Energy, aims to improve the efficiency of combining agriculture and solar energy production, even in regions with challenging, cloudy climates, making agrivoltaics more viable and scalable.