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| Funder | National Science Foundation (US) |
|---|---|
| Recipient Organization | Purdue University |
| Country | United States |
| Start Date | Jul 01, 2023 |
| End Date | Jun 30, 2024 |
| Duration | 365 days |
| Number of Grantees | 1 |
| Roles | Principal Investigator |
| Data Source | National Science Foundation (US) |
| Grant ID | 2326833 |
Agriculture faces increasing challenges all around the world in the face of climate-change related issues. A new focus on climate smart agriculture catalyzed by developments in machine learning and artificial intelligence will be needed to better manage complex agricultural cyber-physical systems to maintain productivity to ensure food security while constraining the impact that agriculture has on greenhouse gas emissions.
This proposal is to provide support for U.S. participation in a workshop on Internet of things (IoT)/artificial intelligence(AI)/machine learning (ML)-enabled precision agriculture to be hosted by Ben-Gurion University at Beer-Sheva in July 2023. The focus will be on big data acquisition and AI/ML-based analytics in precision agriculture. It will cover a wide range of topics focused on scoping of the key challenges remaining in how to use IoT/AI/ML to support further development of sustainable agriculture.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Purdue University
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