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Total Citations
2
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About
Jin Wang is an emerging researcher specializing in agricultural robotics, computer vision, and precision automation for horticultural applications. His work sits at the intersection of deep learning and smart farming, with a particular focus on developing intelligent systems that enable robotic harvesting of delicate crops such as table grapes. His most notable contribution, "A Picking Point Localization Method for Table Grapes Based on PGSS-YOLOv11s and Morphological Strategies" (2025), addresses one of the most technically challenging problems in agricultural automation: the precise identification and segmentation of grape pedicels and the accurate localization of optimal robotic picking points within complex, real-world vineyard environments. By combining a customized YOLO-based detection architecture with morphological image processing strategies, Wang's approach offers a practical pathway toward reliable, fully automated grape harvesting — a development with significant implications for labor reduction and harvest efficiency in the viticulture industry. Though early in his research career with citation counts still growing, Wang's work reflects a timely and highly relevant research agenda as global agriculture increasingly turns to robotics and artificial intelligence to meet modern production demands.
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Top Papers
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