Zhangjun Xiong
Papers
1
Total Citations
58
H-Index
1
About
Dr. Zhangjun Xiong is a leading researcher in agricultural robotics and computer vision, with a primary focus on intelligent fruit detection and yield estimation for precision agriculture. His most influential work centers on developing deep learning-based object detection models tailored to complex orchard environments. In his highly cited 2022 study, Xiong introduced an improved YOLOv5 architecture that achieves fast and precise detection of dense litchi fruits, even under challenging conditions such as occlusion by leaves and branches. This work, which has garnered 58 citations, directly addresses critical bottlenecks in automated harvesting and yield prediction. By enabling accurate maturity assessment and fruit counting in real-time, Xiong’s contributions have significant practical implications for reducing labor costs and improving crop management efficiency. His research bridges the gap between state-of-the-art computer vision algorithms and real-world agricultural applications, making him a key figure in the advancement of smart farming technologies.
Research Focus
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Top Papers
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