Papers
14
Total Citations
625
H-Index
10
About
Zhou Yang is a prominent researcher in agricultural robotics and precision agriculture, with a particular focus on fruit detection, robotic harvesting, and autonomous navigation in orchard environments. His work has made substantial contributions to the intersection of computer vision and agricultural automation, amassing over 600 citations across his most recognized publications. Yang's most impactful research centers on banana crop management, where he has developed sophisticated systems for detecting, counting, and spatially localizing banana bunches and their critical cutting points. His 2022 work on rachis detection and 3D localization (100 citations) and his lightweight YOLO-Banana neural network demonstrate a consistent drive to make deep learning practical under real-world orchard conditions — including variable lighting, wind disturbance, and heavy foliage occlusion. His earlier foundational paper on color- and texture-based banana detection (2019, 82 citations) helped establish the methodological groundwork for these advances. Beyond bananas, Yang has broadened his scope to litchi-picking robot motion planning, strawberry harvesting technology, adaptive gripper design, and hydraulic pruning systems. This breadth reflects a researcher committed to solving the full spectrum of challenges facing modern agricultural robotics, making his body of work highly valuable to engineers and scientists advancing smart farming solutions.
Research Focus
Key Achievements
Top Papers
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- 6Collision-free motion planning for the litchi-picking robot70 citations · 2021
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- 8Technology progress in mechanical harvest of fresh market strawberries21 citations · 2024
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- 10Development of an automatic control system for a hydraulic pruning robot12 citations · 2023