Zhejiang University

Zhangying Ye

Jian Zhao

Songming Zhu

Ruiji Mahe

Yanci Wen

Ying Liu

Xiaofeng Qi

Shengyu Hang

Feixiang Zhu

Haijun Li

A method and system for fish identification based on body surface texture features and geometric features are provided. The method employs an improved Resnet network and a deep learning Yolov8 network to extract body surface texture features and geometric features of a fish on the basis of considering influences of fish tail swing and an oxygen concentration on a fish body form based on a small sample learning framework, and then realizes identity recognition of a fish individual by coupled analysis of the body surface texture features and the geometric features. The method can realize high-accuracy fish identification with few training samples of a fish to be identified from the perspective of actual application, provides theoretical basis and technical support for accurate fish stock assessment and accurate estimation of industrially farmed fish biomass, and meets the development requirements of modern agriculture.

Method and system for fish identification based on body surface texture features and geometric features

Disclosed is a feedback feeding system pond recirculation with fusion of machine vision and infrared detection. Feeding strategies are provided according to the feeding behavior of fish in cooperative with machine vision technology and infrared sensing technology. The pond recirculating aquaculture is an open environment. The change of natural environment may affect the feedback signal of the fish feeding behavior provided by the machine vision due to the low visibility; or it may affect the feedback signal of the fish feeding behavior provided by the infrared detection because low temperature may decrease feeding intensity. The fusion of these two strategies can solve the problem of intelligent feeding strategies in the pond recirculating aquaculture mode.

Feedback feeding system for pond recirculation with fusion of machine vision and infrared detection

Growing community of inventors

Hangzhou, China

Zhangying Ye