An almond orchard in Parlier, California, is hosting a project to test artificial intelligence in irrigation management. Researchers at UC Merced and the University of California Agriculture and Natural Resources have installed a system designed to deliver precise water volumes and record the results.
The project, funded through the Fall 2023 Climate Action Seed Funds, is led by computer science and engineering professor Wan Du. Two test beds have been set up: one irrigated traditionally and one managed by the AI-powered system. "We will compare how much water each test bed will use," Du said, "and then compare the production and result of these two fields."
The system measures soil moisture, water movement through the tree, and transpiration from leaves. The data is uploaded to the internet. Sprinklers are placed under nearly every tree and controlled by an algorithm that determines when and how long they should run. "We want to save as much water as we can," Du said. "Saving water will reduce the cost to growers, and we can save the natural resource for the next generation." The system is scheduled to become operational next spring when the trees flower.
The project team includes civil and environmental engineering professor Safeeq Khan, who built the soil model, and computer science and engineering professor Stefano Carpin, who developed the AI model.
Alongside the research, students from UC Merced and California State University, Monterey Bay, have been involved in documenting the project through a program run by the nonprofit From Farms to Incubators. Founder Amy Wu created a mentorship scheme to train students in digital storytelling and science communication, including photography, video, and writing.
Student Anvi Kudaraya, an undergraduate in computer science and engineering, said she learned the system architecture and processed sensor data using Python scripts. "I learned how important it is to connect technology to a broader purpose, especially when the work can impact something as essential as water use in agriculture."
Savio Jabbo, another student in computer science and engineering, said the opportunity to see the field research provided a new context. "Usually, the work that goes into these projects goes unnoticed. But when you see the impact that it has even on such a small scale, it feels like the whole world should know about it."
The students' work produced a package of stories, images, and videos aimed at audiences ranging from growers to consumers.
For more information:
UC Merced
Tel: +1 209 228 4400
www.ucmerced.edu