US‑India Soybean AI Research Partnership Secures $528,137 NSF Grant
U.S. computer‑science professor Dr. Xiaolei Huang of the University of Memphis has been awarded a $528,137 grant from the National Science Foundation. The three‑year project, running from October 1, 2026 through September 30, 2029, is a joint effort with India’s Ministry of Electronics and Information Technology (MeitY) under an NSF‑MeitY collaboration programme.
The initiative, named SoyWatch, will develop a smart‑sensing network that combines next‑generation wireless communications (NextG) with artificial‑intelligence analytics to monitor soybean growth, soil conditions, pests and disease in real time. Researchers aim to give breeders more precise data to improve soybean yields and productivity, contributing to global food security.
The consortium includes investigators from the University of Memphis, the University of Missouri, Kennesaw State University, the Indian Institute of Technology Delhi, Sher‑e‑Kashmir University of Agricultural Sciences and Technology of Kashmir, and the Indian Council of Agricultural Research. Congressman Steve Cohen announced the award, saying, "I congratulate Professor Huang for being awarded this prestigious National Science Foundation funding. His research efforts will improve soybean yields and productivity, which will help feed the ever‑growing population of our planet."
Entities: Congressman Steve Cohen · Dr. Xiaolei Huang · Ministry of Electronics and Information Technology (MeitY) · National Science Foundation · University of Memphis
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- [● 3 SOURCES] Investigators from the University of Memphis, University of Missouri, Kennesaw State University, IIT Delhi, Sher‑e‑Kashmir University of Agricultural Sciences and Technology of Kashmir, and the Indian
- [● 3 SOURCES] Congressman Steve Cohen announced the award and said it could improve soybean yields and help feed the growing global population.
- [● 3 SOURCES] The grant funds a three‑year project that runs from October 1, 2026 to September 30, 2029.
- [● 3 SOURCES] The initiative, called SoyWatch, aims to develop a smart sensing network for precision soybean breeding.
- [● 3 SOURCES] Dr. Xiaolei Huang, a professor of computer science at the University of Memphis, received a $528,137 grant from the NSF.
- [● 3 SOURCES] The project is a collaboration between the United States and India under an NSF‑MeitY programme.
- [● 3 SOURCES] The project seeks to improve soybean yields and productivity to help feed the ever‑growing global population.
- [● 3 SOURCES] The research will use AI, NextG‑enabled wireless communication and real‑time sensor data to monitor crops and soil conditions.