Zhuo Zhong

Papers

Total Citations

219

H-Index

About

Dr. Zhuo Zhong is a leading researcher in agricultural robotics and precision horticulture, with a primary focus on automated fruit detection and harvesting for specialty crops. His most significant contributions lie in developing computer vision and deep learning methods tailored to complex, natural orchard environments. Dr. Zhong pioneered a visual detection system for nighttime litchi fruits and fruiting stems, a breakthrough that enables 24-hour harvesting operations and has garnered 145 citations. He further advanced this work by creating a method to calculate optimal picking points based on main fruit-bearing branch detection, achieving 51 citations for its practical utility in robotic manipulation. Additionally, his research on green citrus detection using a deep bounding box regression forest (23 citations) demonstrates his versatility in handling challenging detection scenarios where fruit color blends with foliage. Dr. Zhong’s work directly addresses key bottlenecks in agricultural automation—low-light conditions, occluded targets, and precise grasping point identification—making him a pivotal figure in the transition toward fully autonomous fruit harvesting systems.