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About

Yan San Woo is a researcher whose work bridges precision agriculture and embedded robotics systems, with particular expertise in computer vision, autonomous navigation, and FPGA-based hardware implementation. His most impactful contribution to date is his 2023 work on 3D grape bunch reconstruction from 2D images, which has garnered 8 citations and addresses a critical challenge in table grape production. By enabling automated berry counting and analysis of bunch compactness and form, this research offers a transformative tool for farmers seeking to optimize berry thinning — a task that directly governs market value. Earlier in his career, Woo focused on embedded systems and robotics, publishing multiple studies in 2016 on FPGA-enhanced platforms for autonomous ground and aerial robot navigation, as well as active robot tracking systems. These works, accumulating up to 4 citations each, demonstrated his commitment to improving real-world robotic performance through hardware-level optimization. Spanning both agricultural technology and intelligent robotics, Woo's research reflects a versatile and applied engineering perspective, making his profile of particular interest to students exploring automation, machine vision, and smart farming solutions.