This Project Grant award from the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) provides $300,000 in funding to Washington State University (WSU) from May 1, 2024 to April 30, 2026. The project aims to develop collaborative research using AI/ML methods to improve agricultural production and climate resilience in India. Key objectives include: Building and testing new AI-enabled infrastructure for in-field crop monitoring and phenotyping, with a focus on technology transfer across agricultural testbeds. Developing and integrating AI-enabled soil water balance models to improve climate resilience and optimize water resource management on farms. The project establishes a three-way partnership between WSU, the Indian Institute of Technology-Bombay, and the University of Tokyo to investigate scalable and affordable farm IoT technologies as well as new data-driven ML models for robust real-time and site-specific agricultural decision support. This award is part of the Quad AI-Engage initiative, a collaboration between U.S., Australian, Indian, and Japanese funding agencies to advance innovation in next-generation agriculture.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $300.0k | 4/30/24 |