Papers
1
Total Citations
72
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1
About
Yongjun Cao is a leading researcher in agricultural robotics and deep learning, with a primary focus on real-time object detection for precision agriculture. His most cited work, "YOLO-Banana: A Lightweight Neural Network for Rapid Detection of Banana Bunches and Stalks in the Natural Environment" (2022, 72 citations), addresses a critical challenge in automated harvesting: accurately identifying banana bunches and stalks under complex orchard conditions. By developing a lightweight deep learning network, Cao’s research enables efficient, real-time detection that is both fast and deployable on resource-constrained agricultural robots. This contribution is pivotal for advancing smart farming, reducing labor dependency, and improving harvest efficiency. His work exemplifies the integration of computer vision and robotics to solve practical agricultural problems, making him a notable figure in the field of agricultural AI. With a growing citation impact, Cao continues to drive innovation in lightweight neural networks for real-world applications, inspiring future research in sustainable and automated agriculture.
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Top Papers
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