Abstract: 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.

Abstract: 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.

Abstract: Disclosed is an adaptive feeding device for swimming fish based on photo-acoustic coupling technology. The device comprises a recirculating aquaculture pond, a recirculating water treatment system, a high-definition waterproof camera, a feeding machine having a feeding port, and a LED supplement light, a PLC, a digital signal processor, a display, and a hydrophone. The device mainly uses the combination of machine vision technology and acoustic technology to adaptively and accurately analyze and evaluate the fish's real-time feeding desire during the feeding process, so as to formulate feeding strategies. The device of the present invention has simple structure, precise and simple method. The self-adaptive feeding device and method of the present invention are suitable for recirculating aquaculture mode and can effectively solve the problem of feed feeding in the existing recirculating aquaculture system.

Abstract: 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.