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AI-Based Irrigation Management and Control System for Improved Water Efficiency

AI-Based Irrigation Management and Control System for Improved Water Efficiency

by Michael Tapia | Jun 10, 2024 | Challenge Grants

Non-invasive Hybrid Sensing of Key Chemical Compositions of Grapes

Non-invasive Hybrid Sensing of Key Chemical Compositions of Grapes

by Michael Tapia | Jun 10, 2024 | Challenge Grants

Development of a smart water pre-treatment system for controlled environment agriculture using micro-plasma and AI machines

Development of a smart water pre-treatment system for controlled environment agriculture using micro-plasma and AI machines

by Michael Tapia | Jun 10, 2024 | Challenge Grants

Development of a smart water pre-treatment system for controlled environment agriculture using micro-plasma and AI machines

Development of a smart water pre-treatment system for controlled environment agriculture using micro-plasma and AI machines

by Michael Tapia | Jun 10, 2024 | Challenge Grants

Digital Twin of a Smart Saltwater Greenhouse

Digital Twin of a Smart Saltwater Greenhouse

by Michael Tapia | Jun 10, 2024 | Data Science

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    The UC Merced Agriculture Experimental Station (AES) is funded by the Hatch Act of 1887, which established AES at land-grant universities, supporting problem-solving research and teaching in food systems, natural resources, and rural community welfare through federal and state funds.

    Funding support from the US Department of Commerce, Economic Development Agency Build Back Better Regional Challenge, investment no. 07 79 07893, “Fresno-Merced Future of Food (F3) Initiative” and the UC Merced iCREATE project, award no. 07 79 07913.
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