Congju Shen

Shihezi University, Xinjiang Academy of Agricultural and Reclamation Science

Papers

Total Citations

H-Index

About

Congju Shen is a leading researcher in agricultural robotics, specializing in intelligent pruning systems for orchard management. His work centers on developing autonomous manipulators and path-planning algorithms tailored for complex, unstructured natural environments. Shen’s major contributions include the design of a five-degree-of-freedom jujube pruning manipulator and the introduction of an improved RRT-Connect algorithm for obstacle avoidance, which significantly enhances the efficiency and safety of robotic pruning. His research on skeleton extraction and pruning point identification using space colonization algorithms has advanced the automation of dormant jujube tree pruning, addressing critical labor shortages in horticulture. With his most-cited papers accumulating 29, 19, and 15 citations respectively, Shen’s work is gaining recognition for its practical impact on precision agriculture. By integrating robotics, computer vision, and path planning, he is helping to transform traditional manual pruning into a scalable, automated process—paving the way for smarter, more sustainable orchard management.