This Project Grant award, funded by the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083), will support Oklahoma State University (OSU) in developing a data-driven, physics-augmented digital twin framework to address field-wide soil moisture and salinity monitoring and irrigation optimization for sustainable agriculture. The $250,000 award, effective January 1, 2025 through December 31, 2029, will integrate water-solute-soil dynamics modeling, sensor network design, and reinforcement learning algorithms for irrigation scheduling. The project aims to create efficient and affordable solutions for precision soil monitoring and irrigation decision-making, which will help strengthen national food and water security. The research will also build OSU's capabilities in scientific computing, artificial intelligence, digital agriculture, and sustainability, while providing STEM research opportunities for students and educational outreach to farmers and local communities.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $250.0k | 4/7/25 |