Xiaojie Tang
Papers
1
Total Citations
1
H-Index
1
About
Xiaojie Tang is a pioneering researcher at the intersection of agricultural robotics and machine vision, whose work is shaping the future of intelligent farming. Tang’s primary research areas include autonomous harvesting systems, manipulator design, and vision-based object detection for specialty crops. Their most notable contribution is the development of an intelligent chilli picking robot, which integrates advanced machine vision algorithms with a precision manipulator to autonomously identify and harvest ripe chillies. This design addresses a critical labor shortage in agriculture, offering a scalable solution for high-value crop harvesting. Although a relatively new contribution, this work has already garnered attention with 1 citation, signaling its growing relevance in the field of agricultural automation. Tang’s research stands out for its practical, application-driven approach—combining real-time image processing with adaptive robotic control to handle the variability of natural growing environments. By bridging the gap between computer vision and agricultural engineering, Xiaojie Tang is helping to pave the way for the next generation of intelligent, efficient, and sustainable farming technologies.
Research Focus
Key Achievements
Top Papers
- 1