Shuangwei Li
Papers
1
Total Citations
2
H-Index
1
About
Shuangwei Li is a researcher at the forefront of agricultural robotics and intelligent sensing, with a primary focus on developing machine vision and deep learning solutions for precision horticulture. Li’s most notable contribution is the pioneering work on integrating transfer learning with the SSD MobileNet architecture to achieve real-time, accurate positioning of facility-cultivated grapes for robotic harvesting. This research directly addresses the critical labor shortage in grape picking by enabling robots to intelligently recognize and acquire the 3D spatial coordinates of fruit, a fundamental step toward fully autonomous picking equipment. While still early in their career, Li’s work has already garnered citations, signaling its relevance to the growing field of smart agriculture. By bridging computer vision and agronomy, Li is laying the technical groundwork for the next generation of intelligent harvesting systems, promising to enhance efficiency and sustainability in fruit production. Their research stands as a key reference for engineers and agronomists working to automate complex, non-structured agricultural tasks.
Research Focus
Key Achievements
Top Papers
- 1