Zhiwei Lü
Papers
1
Total Citations
67
H-Index
1
About
Zhiwei Lü is a leading researcher in computer vision and agricultural artificial intelligence, with a primary focus on real-time object detection for precision agriculture. His most significant contribution is the development of HPL-YOLOv4, a high-performance lightweight adaptation of the YOLOv4 architecture designed specifically for detecting citrus fruit in complex, natural orchard environments. This work, published in 2022 and garnering 67 citations, addresses critical challenges in automated fruit recognition, including occlusion, variable lighting, and dense foliage. By optimizing detection speed and accuracy for resource-constrained edge devices, Lü’s research directly enables practical, cost-effective robotic harvesting and yield estimation systems. His innovations bridge the gap between state-of-the-art deep learning models and real-world agricultural deployment, making him a key figure in smart farming technology. Lü’s work has been widely cited by researchers developing similar detection systems for other crops, underscoring its foundational impact on the field of agricultural computer vision.
Research Focus
Key Achievements
Top Papers
- 1