28 January 2026

Developments of the Digitalization Center in the field of fisheries research

Digital technologies play a key role in modern scientific research, providing tools for more accurate and comprehensive data analysis.
 
The Azov-Black Sea branch of the Russian State Research Center "All-Russian Research Institute of Fisheries and Oceanography" (VNIRO) demonstrates a high level of integration of digital technologies into its research activities, developing innovative methods for studying aquatic ecosystems.
 
Particular attention is paid to the development and implementation of computer programs and databases to optimize aquatic bioresource management processes. Specifically, in 2025, staff at the branch's Center for Digitalization of Fisheries Research developed and patented a computer program for calculating the receiving capacities of reservoirs—Priyom 3.0—and a database of receiving capacities. This program was developed to determine maximum permissible release volumes of juvenile aquatic organisms into natural water bodies, taking into account the forage productivity of these water bodies, the biological parameters of the aquatic organisms, and fishery parameters.
 
The Priyom 3.0 algorithm is based on a mathematical model of population dynamics, taking into account the balance of prey production and feed consumption by aquatic organisms. Priyom 3.0 offers a number of unique features, including the ability to forecast a reservoir's holding capacity for up to 50 years, taking into account various fishing scenarios, including official and illegal, unregulated, and uncontrolled (IUU) fishing. The software has demonstrated its effectiveness and versatility, as confirmed by successful testing results at the national level. The program demonstrated high accuracy and practical applicability in assessing Russian sturgeon stocks in the Sea of ​​Azov and Siberian sturgeon in the Pyasina River basin. These results demonstrate the algorithm's high adaptability to the specific conditions of various water bodies.
 
The reservoir receiving capacity database stores information on the reservoir's hydrological, hydrobiological, and ichthyological parameters, which are used to calculate juvenile release volumes, monitor reservoir conditions, and forecast productivity.
 
Thus, VNIRO demonstrates cutting-edge achievements in scientific research and the implementation of innovative technologies, which contribute to improved aquatic bioresource management and sustainable fisheries development.
 
VNIRO Press Service