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Duration: 1.5 hours
Participants: 30 people
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.
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.
