Material Detail

This educational video introduces hybrid crop modeling approaches that combine process-based agricultural models with artificial intelligence and machine learning.

It explains how mechanistic crop models represent biological and environmental processes, how machine learning can complement these models, and how hybrid approaches may improve prediction and decision-making.

The material is intended for agricultural scientists, university students, researchers, and professionals interested in digital agriculture, crop simulation, and AI applications.

Presented by Professor Bryan Bannayan Aval, PhD, through the Digital Agriculture and AI Lab YouTube channel.

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