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About

Jidong Lv is a prominent researcher specializing in agricultural robotics, computer vision, and autonomous systems, with a particular focus on apple harvesting technology and intelligent path planning. Over more than a decade of sustained research, Lv has made foundational contributions to the development of robotic systems capable of operating in complex, unstructured orchard environments. His most celebrated work, "Design and Control of an Apple Harvesting Robot" (2011), has amassed an impressive 382 citations, establishing him as a leading authority in agricultural automation. This pioneering research laid the groundwork for subsequent studies on fruit recognition, vision systems, and obstacle avoidance tailored specifically to orchard conditions. Lv's ability to bridge hardware design with sophisticated software architectures is evident across his portfolio, which spans visual identification methods for fruit growth forms, image rendering-based recognition techniques, and deep reinforcement learning approaches such as the Dueling Munchausen Deep Q-Network (DM-DQN) for collision-free robot navigation. His 2022 survey on recognizing fruits and vegetables against similar-color backgrounds further demonstrates his commitment to advancing the broader field of agricultural robotics. Collectively, Lv's body of work, totaling over 630 citations, represents a comprehensive and evolving research program that continues to push the boundaries of intelligent harvesting technology.