Kelin Hu

Process-Model-Supported Offline Reinforcement Learning for Water–Fertilizer Management: Two-Model Closed-Loop Production–Nitrogen-Loss Trade-Offs

Nitrogen leaching threatens groundwater quality, making production retention and efficient water–fertilizer use joint management priorities. Field trials evaluate a limited set of treatments, while adaptive policies generate long sequences of decisions. We propose counterfactual...

A continually evolving knowledge-guided deep learning framework for daily maize yield formation

CONTEXT As multi-source agricultural datasets expand, accurate and interpretable simulation of crop yield formation is increasingly feasible and important for food security. Process-based models are widely used for yield forecasting but require laborious regional calibration. Art...