About

Won Suk Lee is a pioneering agricultural engineer whose career has been defined by the development of intelligent robotic and machine vision systems for precision agriculture. Based at the University of Florida, Lee has dedicated over two decades to automating labor-intensive and hazardous farm operations, spanning weed control, crop inspection, greenhouse spraying, and autonomous navigation. His 1999 paper on robotic weed control for tomatoes, now cited 269 times, established him as an early innovator in agricultural robotics. This foundational work laid the groundwork for a sustained research trajectory that embraced evolving technologies — from stereo vision-based crop height estimation (103 citations) to AI-driven real-time weed detection systems currently reshaping vegetable production. His widely cited 2016 review of machine vision for citrus fruit inspection (132 citations) further demonstrates his influence on postharvest quality automation. Lee's contributions extend into autonomous greenhouse vehicles, smart farm navigation, and strawberry-harvesting robotics, reflecting a comprehensive vision for reducing human labor and chemical exposure in modern farming. His ongoing work on precision spraying with multi-nozzle integration and AI optimization signals continued relevance at the frontier of smart agriculture, making him an essential figure for anyone studying the future of food production technology.

Research Focus

Key Achievements

7
H-Index
17
Papers
672
Total Citations
40
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Weed Control System for Tomatoes
269 citations · 1999
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 49
🏛 Institutions: University of California, Davis, University of Florida, Southwest Florida Research, Agency for Defense Development

Top Papers

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    Pest and Disease Management
    8 citations · 2023
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago