Zhaoguo Zhang

Kunming University of Science and Technology, China Tourism Academy

Papers

Total Citations

H-Index

About

Zhaoguo Zhang is a rising researcher at the forefront of agricultural automation and computer vision, specializing in deep learning-based fruit detection and ripeness classification. His work directly addresses the critical need for intelligent harvesting systems in modern agriculture, with a particular focus on high-value cash crops. Zhang’s most impactful contribution, "Strawberry Detection and Ripeness Classification Using YOLOv8+ Model and Image Processing Method" (2024, 48 citations), introduced a novel hybrid approach combining the YOLOv8+ object detection framework with advanced image processing to enable precise, selective harvesting of strawberries. This work has become a foundational reference for researchers developing robotic pickers. Expanding his scope, Zhang applied similar techniques to litchi bunch detection and ripeness assessment (2025, 6 citations), demonstrating the transferability of his methods. Additionally, his comprehensive survey on single object tracking (2025) provides a valuable synthesis of the field’s evolution, from traditional methods to modern deep learning approaches. Through his focused research, Zhang is helping bridge the gap between cutting-edge AI and practical agricultural robotics, making him a key contributor to the future of smart farming.