Papers
1
Total Citations
82
H-Index
1
About
Dr. Jae-Su Lee is a leading researcher at the intersection of artificial intelligence, computer vision, and precision agriculture. His work focuses on developing intelligent robotic systems to solve critical challenges in modern farming, with a particular emphasis on automated yield monitoring and crop assessment. His highly cited 2020 study, "Artificial Intelligence Approach for Tomato Detection and Mass Estimation in Precision Agriculture" (82 citations), pioneered a novel computer vision framework that integrates deep learning-based object detection with physical property estimation. This breakthrough enables agricultural robots to not only identify individual tomatoes but also accurately estimate their mass from visual data alone—a critical capability for real-time yield monitoring. By bridging the gap between AI perception and the physical properties of crops, Dr. Lee’s contributions have laid essential groundwork for the next generation of autonomous harvesting and crop management systems. His work is widely recognized for its practical impact, offering scalable solutions that enhance productivity and reduce waste in precision agriculture.
Research Focus
Key Achievements
Top Papers
- 1