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About

He Jie is an emerging researcher specializing in agricultural robotics, autonomous systems, and precision agriculture technology. His work sits at the intersection of computer vision, machine learning, and mechanical engineering, with a particular focus on developing intelligent solutions for challenging agricultural environments. Among his most notable contributions is the design of an intelligent chili pepper harvesting system that leverages 3D point cloud reconstruction and multi-mechanism collaborative leveling to overcome real-world obstacles such as leaf occlusion and terrain irregularities in hilly farmland — a technically demanding problem with significant practical implications for labor-scarce agricultural regions. Equally impactful is his neural network-based SLAM/GNSS fusion localization algorithm, which addresses a critical vulnerability in agricultural robotics: the loss of reliable positioning in orchard environments where GNSS signals degrade or fail entirely. By integrating tightly-coupled LiDAR inertial odometry with neural network intelligence, He Jie has advanced the robustness of autonomous navigation in complex field conditions. Though early in his publication trajectory, his 2025 works have already accumulated meaningful citations, signaling growing interest from the research community. He Jie represents a promising voice in the development of next-generation smart farming technologies.