Application of computer vision in fish intelligent feeding system—A review

Intelligent feeding will be an important mechanism for future aquaculture breeding, and the establishment of this system will also become a primary concern. At the same time, computer vision is rapidly developing as an effective intelligent feeding system. The combination of the two systems will con...

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Vydané v:Aquaculture research Ročník 52; číslo 2; s. 423 - 437
Hlavní autori: An, Dong, Hao, Jin, Wei, Yaoguang, Wang, Yaqian, Yu, Xiaoning
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford John Wiley & Sons, Inc 01.02.2021
Predmet:
Aquaculture
Breeding
Computer vision
Decision analysis
Detection
Feeding
Fish
Fish behavior
fish behaviour analysis
fish intelligent feeding system
fish target detection
Sensory systems
System effectiveness
Target detection
Target recognition
underwater image preprocessing
ISSN:1355-557X, 1365-2109
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Popis
Shrnutí:Intelligent feeding will be an important mechanism for future aquaculture breeding, and the establishment of this system will also become a primary concern. At the same time, computer vision is rapidly developing as an effective intelligent feeding system. The combination of the two systems will contribute to increases in aquaculture, and their future development will be based on the innovation and implementation of existing technologies. This review summarizes the application and progress of computer vision in terms of all aspects of the intelligent feeding system, including underwater image preprocessing, fish target detection, fish weight and length detection, fish behaviour analysis and fish intelligent feeding decisions. We have summarized and analysed the methods used in each system to identify more ways to not hinder the senses of researchers and to expand the range of technologies that can be studied. The various research systems have progressed together, which has led to the establishment of intelligent feeding systems and the development of computer vision in intelligent feeding.
Bibliografia:Funding information
The study presented in the manuscript is supported by the National Key Research and Development Program of China (Project No. 2019YFD0901000).
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ISSN:1355-557X
1365-2109
DOI:10.1111/are.14907