Yijing Zuo
Papers
1
Total Citations
28
H-Index
1
About
Dr. Yijing Zuo is a leading researcher in agricultural robotics and computer vision, with a primary focus on enhancing automated fruit harvesting systems. Her most notable contribution is the development of MSOAR-YOLOv10, a cutting-edge deep learning model designed to overcome the critical challenge of detecting occluded apples in complex orchard environments. By addressing issues like variable lighting and fruit overlap—which cause high rates of missed and false detections—Zuo’s work directly improves the accuracy and reliability of harvest robotics. Her research has already garnered 28 citations within its first year, signaling strong impact in the precision agriculture community. Zuo’s innovations bridge the gap between artificial intelligence and practical farming, offering scalable solutions for real-world crop yield optimization. Her achievements position her as a rising expert in multi-scale object detection and agricultural automation, with implications for reducing labor costs and food waste.
Research Focus
Key Achievements
Top Papers
- 1