Zhangnan Chen

Papers

Total Citations

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About

Zhangnan Chen is a researcher advancing precision viticulture through intelligent agricultural robotics. Their work centers on computer vision and image processing for automated grapevine management, with a particular focus on enabling robotic pruning in dormant vineyards. Chen’s most cited study, "Grapevine Branch Recognition and Pruning Point Localization Technology Based on Image Processing" (2024, 9 citations), addresses a critical bottleneck in vineyard automation: the accurate identification of branch structures and bud points. By developing algorithms that precisely localize pruning points on Cabernet Sauvignon grapevines, Chen’s research provides the foundational perception technology necessary for robotic arms to perform selective pruning—a task traditionally reliant on skilled human labor. This contribution directly supports the broader goal of reducing labor costs and increasing consistency in vineyard operations. Chen’s work, though early in its citation trajectory, demonstrates significant potential for impact in agricultural robotics, offering a practical pathway from image data to actionable robotic commands. For students and researchers in precision agriculture and computer vision, Chen’s research exemplifies how domain-specific image processing can solve real-world challenges in specialty crop management.