Sufang Yu
Papers
3
Total Citations
34
H-Index
3
About
Sufang Yu is a leading researcher in agricultural robotics and intelligent farming systems, with a primary focus on autonomous navigation and computer vision for dairy farm applications. Her work addresses critical challenges in precision livestock farming, particularly the development of intelligent push robots that overcome the limitations of traditional magnetic induction systems, which are prone to electromagnetic interference and lack adaptability. Yu’s major contributions include pioneering vision-based navigation path extraction and obstacle avoidance strategies, achieving significant improvements in robot autonomy and operational reliability under complex farming conditions. Her 2022 paper on navigation path extraction and obstacle avoidance has garnered 17 citations, while her 2023 work on an efficient multi-task convolutional neural network for dairy farm object detection and segmentation has earned 11 citations, reflecting growing interest in her integrated AI solutions. Notably, her research on binocular vision-based navigation path extraction (6 citations) demonstrates her commitment to enhancing robot performance despite challenging weather and environmental variability. Yu’s innovative fusion of deep learning and robotics is paving the way for smarter, more resilient agricultural automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3