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Automation, Cyberphysical Systems, Robotics , and Mechatronics

Automation, Cyberphysical Systems, Robotics , and Mechatronics

by Michael Tapia | Jun 10, 2024 | Data Science

Reliable and Energy-Efficient LoRa Networks for Smart Irrigation and Groundwater Recharging in Orchards

Reliable and Energy-Efficient LoRa Networks for Smart Irrigation and Groundwater Recharging in Orchards

by Michael Tapia | Jun 10, 2024 | Data Science

ESFSim: Building an Experimental Smart Farm Simulation System for Interdisciplinary Research in Sustainable Agriculture

ESFSim: Building an Experimental Smart Farm Simulation System for Interdisciplinary Research in Sustainable Agriculture

by Michael Tapia | Jun 10, 2024 | Data Science

OptiMoistube: Optimizing California’s Irrigation Systems for Climate Resilience through an Innovative Moistube Technology

OptiMoistube: Optimizing California’s Irrigation Systems for Climate Resilience through an Innovative Moistube Technology

by Michael Tapia | Jun 10, 2024 | Water Efficiency and Regenerative

Regenerative Agriculture Innovation: Transition Towards Water Use Efficiency

Regenerative Agriculture Innovation: Transition Towards Water Use Efficiency

by Michael Tapia | Jun 10, 2024 | Water Efficiency and Regenerative

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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.
    © 2024 Experimental Smart Farm