Minhui An
Papers
1
Total Citations
5
H-Index
1
About
Dr. Minhui An is a pioneering agricultural robotics researcher whose work bridges computer vision and precision farming, with a focus on sustainable herb cultivation. Her most cited study, "Design and operation of a Peucedani Radix weeding device based on YOLOV5 and a parallel manipulator" (2023, 5 citations), addresses the critical challenge of reducing herbicide overuse in traditional Chinese medicine agriculture. Dr. An’s key contribution lies in developing a novel weeding robot that integrates YOLOV5 deep learning with ExG (excess green) feature segmentation to accurately detect and avoid Peucedani Radix seedlings while precisely targeting weeds. This system, combined with a parallel manipulator, enables automated, selective herbicide spraying—dramatically cutting chemical usage and environmental harm. Her work exemplifies the fusion of AI and mechanical engineering for eco-friendly farming, offering a scalable solution for high-value medicinal crops. By tackling both weed detection accuracy and robotic precision, Dr. An has laid groundwork for intelligent, low-impact agricultural tools. Her research is particularly notable for its practical application in Chinese herb farming, where manual weeding remains labor-intensive and chemical overuse threatens soil health. With growing interest in sustainable agriculture, Dr. An’s innovations are poised to influence broader precision weeding technologies.
Research Focus
Key Achievements
Top Papers
- 1