Kuan Qin
Papers
1
Total Citations
5
H-Index
1
About
Kuan Qin is a researcher at the intersection of agricultural robotics and precision farming, with a primary focus on developing intelligent weeding systems for high-value medicinal crops. Their most notable contribution is the design and operation of a Peucedani Radix weeding device that integrates YOLOV5 deep learning with a parallel manipulator, enabling targeted herbicide spraying while avoiding damage to the herb seedlings. This work, published in 2023 with 5 citations, addresses the critical challenge of reducing chemical overuse in traditional Chinese herb cultivation by combining computer vision (ExG feature segmentation) with robotic precision. Qin’s research demonstrates a practical application of AI-driven agriculture, balancing crop protection with environmental sustainability. While their citation count is still growing, the novelty of their approach—merging real-time object detection with parallel robotics for weed management—positions them as an emerging contributor to smart farming technologies. Their work is particularly relevant for researchers exploring automated solutions in specialty crop production and precision herbicide application.
Research Focus
Key Achievements
Top Papers
- 1