Team
- Faculty: Raviv Raich (OSU), Alan Fern (OSU)
- Senior Collaborators: Paola Pesantez-Cabrera (WSU, Data Scientist)
- Graduate students: Erkin Kokten (OSU)
Objective
- Learn models to predict water-related quantities including soil water content at different levels, stem water potential, and response to irrigation profile.
Hypothesis
- Neural network-based models can be trained to predict soil water attributes in a site-specific manner.
Related Publications
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