Dr. Worasit Sangjan is a Postdoctoral Research Fellow with the USDA–ARS in Prosser, Washington. He earned his Ph.D. in Biological Systems Engineering from Washington State University, where his research focused on integrating multiscale sensing technologies—including UAVs, IoT-based cameras, satellites, and proximal sensors—with artificial intelligence and machine learning for high-throughput plant phenotyping. His expertise bridges agricultural engineering, remote sensing, and data science, with applications ranging from yield prediction and stress detection to decision-support systems for plant breeding. Dr. Sangjan previously spent nine years in industry with Sony, Kubota, Munters, and John Deere, gaining experience in agricultural machinery, automation, and environmental control systems. His research contributions include the development of open-source tools such as MatchPlant, a UAV-based single-plant detection pipeline, and AGIcam, an IoT system for real-time crop monitoring. His achievements have been recognized through awards such as the 2025 Outstanding Reviewer Award from ASABE and the Graduate Student Award at the 2024 North American Plant Phenotyping Network Conference. Through his work, Dr. Sangjan is committed to advancing precision and digital agriculture by creating affordable, scalable sensing and AI tools that connect engineering innovation with the needs of breeders, growers, and stakeholders.