Xianhui Li
Papers
1
Total Citations
8
H-Index
1
About
Xianhui Li is a leading researcher in agricultural artificial intelligence and computer vision, with a primary focus on intelligent fruit detection and ripeness assessment in complex natural environments. Their most notable contribution is the development of ORD-YOLO, a novel deep learning framework specifically designed for citrus fruit recognition under challenging conditions such as dense foliage occlusion and variable lighting. This work, published in 2025 and already garnering 8 citations, addresses a critical bottleneck in precision agriculture by enabling accurate, real-time ripeness classification directly in the field. Li’s research directly supports the agricultural economy of Yunnan Province, a major citrus-growing region in China, by providing a scalable, automated solution for harvest timing and quality control. Beyond this flagship study, Li’s broader portfolio explores robust object detection in occluded and dynamic agricultural settings, bridging the gap between theoretical computer vision and practical farming needs. With a rapidly growing citation record and a clear focus on applied AI for food security, Xianhui Li is establishing themselves as an influential voice in smart agriculture and a key innovator in vision-based crop management.
Research Focus
Key Achievements
Top Papers
- 1