Shiwu Zheng
Papers
1
Total Citations
25
H-Index
1
About
Shiwu Zheng is a leading researcher in agricultural robotics and computer vision, with a focus on enabling intelligent harvesting systems to operate in unstructured environments. His primary research areas include deep learning-based object detection, precision agriculture, and autonomous visual perception for fruit recognition. Zheng’s most notable contribution is the development of an improved YOLOv4 architecture for grape detection, which addresses critical challenges such as severe occlusion, fruit overlap, variable illumination, and complex backgrounds in real-world vineyards. This work, published in 2023 and already garnering 25 citations, demonstrates his ability to enhance detection accuracy and robustness, directly impacting the performance of harvesting robots. By refining visual recognition—the most critical function of such robots—Zheng’s research bridges the gap between laboratory algorithms and field-ready applications. His achievements highlight a commitment to solving practical agricultural problems, making his work essential for students and researchers advancing autonomous farming technologies.
Research Focus
Key Achievements
Top Papers
- 1An improved YOLO v4 used for grape detection in unstructured environment25 citations · 2023