Determining Average Size and Average Speed of Fish Using Deep Learning Technologies

Abstract

Aquaculture in modern conditions is one of the priority directions of human economic activity, aimed at rational use of aquatic biological resources and maintenance of ecological balance in freshwater and marine ecosystems, providing reproduction and cultivation of various hydrobionts, including fish, mollusks, crustaceans and algae, under controlled conditions, allowing to regulate both the quality and quantity of raw materials. In recent years, given the significant number of water areas in Russia actively developing fish farms fish farms and biological laboratories for breeding and research of fish. Many tasks in fish production facilities that are performed by staff and are often time-consuming and resource-consuming are effectively handled with the use and development of digital technology. Tasks aimed at analyzing visual information with the help of artificial intelligence technologies and deep learning networks are presented in a wide range of directions. Авторами предложен метод определения размеров и скорости движения рыб с помощью .... The authors have proposed a method for determining the size and speed of fish using ....