Zhe Cui

Shandong University of Science and Technology

Papers

Total Citations

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About

Dr. Zhe Cui is a leading researcher in agricultural robotics and computer vision, specializing in the real-time detection of fruit for automated harvesting systems. His work focuses on overcoming the challenge of identifying green, unripe fruit against complex natural backgrounds—a critical bottleneck for picking robots. Dr. Cui’s major contributions include the development of Light-YOLOv3, a lightweight deep learning architecture that dramatically improves detection speed and accuracy for green mangoes in cluttered orchard environments, a method that has garnered 73 citations. He further advanced this field with a fast detection framework for green peaches, achieving 24 citations, demonstrating the transferability of his approach across different crops. By prioritizing computational efficiency without sacrificing precision, Dr. Cui’s research directly enables the practical deployment of robotic pickers in agriculture, addressing labor shortages and improving harvest efficiency. His work is foundational for students and engineers developing vision systems for autonomous fruit harvesting, offering robust, real-time solutions that operate reliably under variable lighting and occlusion.