Detection and Characterization of Caviar Using a Neural Network Algorithm

Roman Valerievich Meshcheryakov; Konstantin Dmitrievich Rusakov; Gleb Konstantinovich Tevyashov

Roman Valerievich Meshcheryakov ICS RAS https://orcid.org/0000-0002-1129-8434
Konstantin Dmitrievich Rusakov ICS RAS https://orcid.org/0000-0002-1895-8001
Gleb Konstantinovich Tevyashov ICS RAS https://orcid.org/0000-0003-3949-4936

Keywords: Aquaculture, Neural Network Algorithm, Fish, Fish Resources, Caviar, Tech-nologies

Abstract

The article indicates the importance and conservation of fish resources in the known worlds, and also indicates the priority of counting caviar when breeding sturgeon fish species. In the work of highly efficient caviar counting methods used in enterprises, outstanding and requiring technical solutions for the performance of the design for automatic counting using neural network algorithms. The results of experimental systems for the reproduction of ferrous metals are presented.