Papers
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Total Citations
2
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About
Dr. Jing Ying is a leading researcher in agricultural robotics, with a primary focus on intelligent fruit-picking systems. Their most significant contribution is a comprehensive review paper that systematically analyzes recent advances in three critical domains: vision-based fruit and peduncle detection, motion planning for robotic arms, and end-effector design for delicate harvesting. This work has garnered 2 citations and serves as a foundational resource for researchers and engineers working to address labor shortages and rising costs in manual harvesting. Dr. Ying’s research bridges the gap between computer vision, robotics, and agricultural engineering, offering practical insights into the challenges of real-time fruit recognition, safe grasping mechanisms, and efficient path planning in unstructured orchard environments. By synthesizing state-of-the-art technologies and identifying key bottlenecks, their review has become a go-to reference for advancing the field. Dr. Ying’s work is particularly notable for its critical evaluation of current limitations and its forward-looking perspective on future research directions, making it an essential read for students and professionals aiming to develop next-generation autonomous harvesting solutions.
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Top Papers
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