Linyun Xiong
Papers
1
Total Citations
73
H-Index
1
About
Linyun Xiong is a leading researcher in agricultural artificial intelligence and precision farming, with a primary focus on computer vision for crop monitoring and harvesting automation. Their most impactful work, "Integrated detection of citrus fruits and branches using a convolutional neural network" (2020), has garnered 73 citations and represents a significant breakthrough in automated fruit detection. This research addresses a critical challenge in agricultural robotics—accurately identifying both fruits and occluding branches in complex orchard environments—by developing a deep learning framework that simultaneously detects multiple targets with high precision. Xiong's contributions have direct implications for reducing labor costs and improving harvest efficiency in citrus production. Beyond this flagship study, their broader research portfolio encompasses sensor fusion, real-time image processing, and the deployment of neural networks on edge devices for field applications. By bridging the gap between theoretical computer vision and practical agricultural needs, Xiong has established themselves as a key innovator in smart farming technologies, with their work frequently cited by researchers developing autonomous harvesting systems and yield estimation tools.
Research Focus
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Top Papers
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