Wonkyung Kim
Papers
1
Total Citations
3
H-Index
1
About
Wonkyung Kim is a researcher at the forefront of agricultural automation, specializing in AI-driven robotics for precision farming. Her work addresses the critical labor shortages in agriculture by developing intelligent systems that can autonomously detect and harvest crops. Kim’s most notable contribution is the implementation of a 3D location detection embedded system for tomato harvesting robots, published in 2022. This system leverages deep learning on a low-power, compact NVIDIA Jetson Xavier NX platform, combined with stereo vision, to accurately determine the three-dimensional position of tomatoes in real-world environments. By focusing on cost-effective, embedded solutions, her research bridges the gap between advanced AI and practical field deployment. With 3 citations already, this work is gaining traction as a foundational approach for affordable agricultural robotics. Kim’s achievements highlight her commitment to solving pressing societal challenges through technology, making her a rising voice in the intersection of computer vision, robotics, and sustainable agriculture.
Research Focus
Key Achievements
Top Papers
- 1