Zhenyang Lv
Papers
1
Total Citations
50
H-Index
1
About
Zhenyang Lv is a leading researcher in agricultural robotics and precision weed management, with a focus on integrating deep learning and autonomous navigation for paddy field applications. His most impactful work centers on developing adaptive cruise weeding robots that leverage improved versions of the YOLOv5 object detection algorithm to accurately identify and target weeds in complex, dynamic rice paddy environments. Lv’s major contribution lies in bridging the gap between computer vision and practical field robotics, designing systems that can operate reliably under challenging conditions such as water submersion, variable lighting, and dense crop canopies. His 2024 paper, "Design and experiment of an adaptive cruise weeding robot for paddy fields based on improved YOLOv5," has already garnered 50 citations, underscoring its immediate relevance and influence in the field. This work not only advances the state of the art in selective weeding but also offers a scalable, low-cost solution for reducing herbicide use in sustainable agriculture. Lv’s research is widely recognized for its practical impact, with his robotic systems being tested in real-world field trials, demonstrating significant improvements in weeding accuracy and operational efficiency. His contributions continue to shape the future of smart farming, making him a key figure in the intersection of robotics, computer vision, and agronomy.
Research Focus
Key Achievements
Top Papers
- 1