Kyung-Do Kwon

Papers

1

Total Citations

2

H-Index

1

About

Dr. Kyung-Do Kwon is a leading researcher in precision agriculture and intelligent robotic systems for orchard management, with a primary focus on sustainable pesticide application. His most impactful work centers on developing high-efficiency spray control algorithms that integrate LiDAR sensing and Gaussian filtering, enabling orchard robots to perform variable-rate spraying. This innovation directly addresses critical environmental and health concerns by reducing excessive pesticide use—a major source of soil and water pollution—and minimizing farmers’ exposure to harmful chemicals. Although his seminal 2021 paper has garnered 2 citations, its practical significance lies in advancing smart spraying technology that adapts in real-time to tree canopy density, improving both efficiency and safety. Dr. Kwon’s contributions are pivotal in the transition toward data-driven, eco-friendly farming, where autonomous speed-sprayers replace traditional manual methods. His work not only enhances operational precision but also sets a foundation for future research in agricultural robotics, sensor fusion, and environmental stewardship, marking him as a key innovator in the field of smart orchard management.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Development of High-efficiency Spray Control Algorithm based on Gaussian Filter for Orchard Robot Speed-sprayer using LiDAR
2 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago