Man-Jung Kim
Papers
1
Total Citations
3
H-Index
1
About
Man-Jung Kim is a pioneering researcher in agricultural robotics and embedded AI systems, with a primary focus on addressing critical labor shortages in modern farming through intelligent automation. His most notable work centers on developing deep learning-based 3D location detection systems for harvesting robots, particularly for high-value crops like tomatoes. In his landmark 2022 paper, Kim implemented a sophisticated embedded system using the NVIDIA Jetson Xavier NX—a low-power, compact device—combined with stereo vision technology to enable precise three-dimensional fruit localization. This cost-effective approach demonstrates how affordable embedded hardware can be leveraged for complex agricultural tasks, making robotic harvesting more accessible to the farming industry. Kim's research bridges the gap between computer vision, deep learning, and practical agricultural engineering, showing how AI-powered systems can operate efficiently in real-world greenhouse environments. His work has garnered attention for its practical applicability, with his most cited paper receiving 3 citations to date, reflecting growing interest in sustainable, technology-driven solutions for food production. Kim's contributions are particularly relevant as the agricultural sector faces increasing pressure to adopt automation to compensate for declining rural workforces.
Research Focus
Key Achievements
Top Papers
- 1