This recorded lecture explores the intersection of AI and crop growth modeling. Delivered to a distinguished audience of PhD students and postdoctoral researchers from WU and the University of Florida, the presentation delves into the advantages and limitations of both data-driven and process-based modeling approaches. The talk envisions a future where AI and process-based models work synergistically to tackle longstanding challenges in agricultural modeling.