Brings enthusiasm and expertise to class.
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Rajveer Dhillon, Ph.D., serves as Assistant Research Professor in Precision Agriculture and Agricultural Engineering within the Agricultural Research and Development Program at Central State University’s John W. Garland College of Engineering, Science, Technology, and Agriculture. He earned his Ph.D. from the University of California, Davis in Biological and Agricultural Engineering, with graduate research centered on developing continuous leaf monitoring systems and sensor suites for detecting plant water stress in almond, walnut, and grape crops. Prior professional affiliations include Topcon Agriculture, reflecting his expertise in precision farming technologies.
Dhillon’s academic interests focus on precision agriculture, AgTech, data science, precision irrigation, and robotics. At Central State University, he directs research projects evaluating sweet potato genotypes for northern climates, raspberry cultivation through precision agriculture techniques, unmanned aerial systems for crop monitoring, and sustainable practices for small-scale and urban farming. He has presented on precision agriculture and robotics for sustainable agriculture, spoken at conferences on emerging agricultural technologies, and collaborated on student-led research in agricultural engineering. Holding an FAA remote pilot license and software tester certification, Dhillon integrates aerial remote sensing and data analytics into his work. His publications include “Prediction of plant water status in almond and walnut trees using a continuous leaf monitoring system” (Precision Agriculture, 2018), “Small-Scale Farming: A Review of Challenges and Opportunities for the Future” (Sustainability, 2023), “Precision Agriculture (PA) techniques for smallholder farmers in the US: status and potential opportunities” (2023), “Utilizing Machine Learning Framework to Evaluate the Effect of Climate Change on Maize and Soybean Yield” (Computers and Electronics in Agriculture, 2024), and “Autonomous mowing in agriculture: Current status, needs, opportunities, and future directions” (2026). Dhillon holds patent US 9374950 for a leaf temperature monitoring system to predict plant water status. His scholarship has accumulated 594 citations on Google Scholar, influencing advancements in crop water management and smallholder farming technologies. Through extension programs, media interviews, and workshops, he supports practical applications in Ohio agriculture.
