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Ali Moghimi is an Assistant Professor in the Department of Biological Agricultural Engineering at the University of California, Davis. He holds a Ph.D. in Biosystems Engineering with a minor in Computer Science from the University of Minnesota. His research and teaching focus on remote sensing and artificial intelligence applications in precision digital agriculture. Moghimi is passionate about interdisciplinary research centered around the food-water-energy nexus and the innovative use of technologies like LiDAR, multispectral, and hyperspectral imaging in agriculture. He teaches courses that include 'Introduction to Unmanned Aerial Systems in Agriculture & Environmental Science.' His research includes the application of UAVs and machine learning algorithms to facilitate advancements in agricultural practices. His work has been published in various journals, addressing topics such as estimating grapevine leaf nitrogen concentration through aerial multispectral imagery and using deep neural networks for wheat yield phenotyping. Moghimi is committed to advancing agriculture's digital revolution through technology and research.
University of California, Davis • Davis, CA
Teaching and research in the area of Biological Agricultural Engineering, focusing on applications of remote sensing and AI in agriculture.
Department of Computer Science. GRE is NOT required.