Haijun Li

Title: Haijun Li: Innovator in Fish Identification Technology

Introduction

Haijun Li is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of fish identification through innovative methods and systems. His work is particularly relevant in the context of modern agriculture and aquaculture.

Latest Patents

Haijun Li holds a patent for a method and system for fish identification based on body surface texture features and geometric features. This patent employs an improved Resnet network and a deep learning Yolov8 network to extract essential features of fish. The method considers the influences of fish tail swing and oxygen concentration on body form, allowing for high-accuracy identification with minimal training samples. This innovation provides a theoretical basis and technical support for accurate fish stock assessment and estimation of farmed fish biomass.

Career Highlights

Li is affiliated with Zhejiang University, where he continues to advance research in fish identification technologies. His work has garnered attention for its practical applications in aquaculture and environmental sustainability.

Collaborations

Haijun Li collaborates with notable colleagues, including Jian Zhao and Feixiang Zhu, to further enhance the impact of his research.

Conclusion

Haijun Li's innovative approach to fish identification represents a significant advancement in the field, contributing to the efficiency and accuracy of aquaculture practices. His work exemplifies the intersection of technology and agriculture, paving the way for future developments in this area.