Shuai Su

Northwest A&F University, Beijing Automation Control Equipment Institute

Papers

Total Citations

H-Index

About

Shuai Su is a pioneering researcher in agricultural robotics, with a focused expertise in machine vision and automated harvesting systems for kiwifruit. His work addresses the critical challenge of developing intelligent picking robots to meet the rising labor costs in China’s kiwifruit industry, which produces over one-third of the world’s supply. Su’s major contributions include designing novel image acquisition methods—such as the look-up capture method (LUCM) and bottom-view imaging—to overcome complex orchard backgrounds and enable reliable fruit recognition, even under artificial lighting at night. He also developed a non-destructive picking end-effector, integrating perception and gentle grasping to prevent fruit damage. Each of his three most-cited papers has garnered 3 citations, collectively laying foundational groundwork for kiwifruit harvesting automation. Su’s research directly addresses the bottleneck of fruit information perception and robotic manipulation, offering practical solutions for real-world agricultural applications. His work is particularly notable for its focus on nighttime operation, a critical advancement for extending harvesting windows. For students and researchers in precision agriculture and robotics, Shuai Su’s studies provide essential insights into the integration of vision systems and end-effector design for specialty crop harvesting.