AI-based agrivoltaics systems are designed to optimize the performance of the raised solar system. One of its key features is the ability to control the tilt angle of solar panels based on real-time data and machine learning algorithms.
By analyzing data such as weather conditions, solar radiation, and crop growth, the model can determine the optimal tilt angle for the solar panels. This allows for maximum energy production while minimizing shading on the crops.
Furthermore, these systems can adapt to changing conditions in real-time, adjusting the tilt angle of the panels to optimize energy production throughout the day. This ensures that the system is always operating at peak efficiency, even as conditions change.