Yujie Jin
Papers
1
Total Citations
4
H-Index
1
About
Yujie Jin is a researcher at the forefront of agricultural robotics and intelligent automation, with a primary focus on integrating advanced image detection and recognition technologies into agricultural picking systems. Her most cited work, "Recognition Technology of Agricultural Picking Robot Based on Image Detection Technology" (2020), addresses a critical bottleneck in modern agriculture: the precise positioning and control of robots during fruit and vegetable harvesting. By developing robust image-based recognition algorithms, Jin has contributed to enhancing the efficiency and reliability of automated picking, directly supporting the shift toward smarter, more productive farming. Although her citation count is currently modest—with this key paper garnering 4 citations—her research tackles a pressing challenge in precision agriculture, where even incremental improvements in recognition accuracy can have significant practical impacts. Jin’s work is particularly valuable for students and researchers interested in the intersection of computer vision, robotics, and sustainable agriculture, offering foundational insights into how machines can better perceive and interact with complex natural environments.
Research Focus
Key Achievements
Top Papers
- 1