Ying Liu

Title: Ying Liu - Innovator in Fish Identification Technology

Introduction

Ying Liu 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 focuses on utilizing advanced technologies to enhance the accuracy of fish identification, which is crucial for various applications in agriculture and aquaculture.

Latest Patents

Ying Liu holds a patent for a method and system for fish identification based on body surface texture features and geometric features. This innovative approach 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 the fish's body form, utilizing a small sample learning framework. This technology enables high-accuracy fish identification with minimal training samples, providing a theoretical basis and technical support for accurate fish stock assessment and estimation of industrially farmed fish biomass.

Career Highlights

Ying Liu is affiliated with Zhejiang University, where he continues to advance research in fish identification technologies. His work not only contributes to academic knowledge but also has practical implications for modern agriculture. Liu's innovative methods are paving the way for more efficient and accurate fish farming practices.

Collaborations

Ying Liu collaborates with notable colleagues, including Jian Zhao and Feixiang Zhu. Their combined expertise enhances the research and development of fish identification technologies.

Conclusion

Ying Liu's contributions to fish identification technology exemplify the intersection of innovation and practical application. His work is vital for the future of aquaculture and sustainable fishing practices.