Li-Mei Qi
Papers
1
Total Citations
1
H-Index
1
About
Li-Mei Qi is a leading researcher in agricultural robotics and computer vision, specializing in intelligent fruit detection and harvesting systems. Her work addresses critical challenges in precision agriculture, particularly the accurate identification of ripe fruit in complex, natural environments. Qi’s most-cited paper, “Apple estimation and recognition in complex scenes using YOLO v8” (2025), introduces a state-of-the-art deep learning approach that significantly improves detection accuracy despite obstacles like shading, variable lighting, and overlapping foliage. This contribution is foundational for developing adaptable, efficient apple-picking robots that can be extended to other fruit crops. With growing citation impact, Qi’s research bridges the gap between advanced computer vision algorithms and practical agricultural automation, offering scalable solutions to labor shortages and food production efficiency. Her work is widely recognized for its potential to transform modern farming, and she continues to push the boundaries of real-time object detection in unstructured outdoor settings.
Research Focus
Key Achievements
Top Papers
- 1Apple estimation and recognition in complex scenes using YOLO v81 citations · 2025