Kuan Chong Ting

Papers

Total Citations

158

H-Index

About

Kuan Chong Ting is a pioneering researcher in agricultural robotics, with a career focused on automating labor-intensive tasks in horticulture and crop production. His work centers on robotic harvesting and transplanting systems, where he has made foundational contributions to machine vision and gripper design. Ting’s most cited paper, "Visual Feedback Guided Robotic Cherry Tomato Harvesting" (1996, 117 citations), addresses the challenge of detecting and picking small, densely clustered fruits—a problem critical to reducing labor costs in Japanese agriculture. He developed an effective vision algorithm that enabled precise fruit localization, advancing the feasibility of robotic harvesting for high-value crops. In his earlier work, "Factors Affecting Performance of Sliding-Needles Gripper During Robotic Transplanting of Seedlings" (1991, 41 citations), Ting investigated mechanical and horticultural factors influencing the success of automated seedling transplanting, using a sensor-equipped gripper with a SCARA robot across 11 plug trays. This research highlighted key parameters for reliable robotic handling of delicate plant material. Ting’s contributions have shaped the integration of robotics into precision agriculture, offering practical solutions that continue to influence modern farming automation.