Di Cheng
Papers
1
Total Citations
16
H-Index
1
About
Di Cheng is a leading researcher in agricultural robotics and precision automation, with a primary focus on intelligent seedling transplanting systems. Their most notable contribution is the development of a plug seedling transplanting parallel robot, where they pioneered an integrated approach combining machine vision, end-effector design, and optimal motion control strategies. In their highly cited 2022 work, Cheng addressed the critical agricultural challenge of detecting and removing unqualified seedlings—such as holes or inferior plants—that traditionally required labor-intensive manual sorting. By using broccoli seedlings as a model system, they created an image recognition framework that automates this process, significantly reducing labor demands and improving mechanization in greenhouse operations. With 16 citations on this flagship paper alone, Cheng’s work has already influenced the trajectory of smart farming technologies. Their research bridges the gap between robotics engineering and practical horticulture, offering scalable solutions for high-efficiency transplanting. For students and researchers in agricultural robotics, Cheng’s work exemplifies how integrating computer vision with parallel robot kinematics can solve real-world bottlenecks in food production.
Research Focus
Key Achievements
Top Papers
- 1