Hongtao Zheng

Zhejiang University, Hangzhou City University

Papers

Total Citations

H-Index

About

Hongtao Zheng is a leading researcher in the field of embedded artificial intelligence, with a primary focus on real-time object detection for agricultural and safety applications. His work bridges the gap between advanced deep learning models and resource-constrained hardware, enabling intelligent systems to operate efficiently on small embedded devices. Zheng’s most impactful contribution is his development of fire detection algorithms that integrate MobileNetV3 and YOLOv4, achieving real-time performance on low-power platforms—a critical advancement for early fire prevention. This work, published in 2023, has already garnered 52 citations, underscoring its immediate relevance and practical utility. In parallel, Zheng has pioneered a blueberry ripeness detection algorithm tailored for picking robots, addressing the labor shortage in agriculture by enabling automated, accurate harvest decisions. This research, with 34 citations, demonstrates his ability to translate complex computer vision tasks into deployable solutions for real-world robotics. Zheng’s notable achievement lies in his systematic approach to optimizing neural networks for edge computing, making him a key figure in the convergence of AI, robotics, and safety systems. His work continues to inspire innovations in smart agriculture and intelligent surveillance.