Prospects for using neural networks to solve the problems of IUU-fishing and piracy in the Arctic zone of Russia

Abstract

This article discusses the prospects for using neural networks to solve the problems of IUU fishing (illegal, unaccountable and uncontrolled fishing) and piracy in the Arctic zone of the Russian Federation. A brief overview of similar foreign applications that have already been implemented (Global Fishing Watch) is provided. Special attention is paid to the fact that the use of artificial intelligence for the needs of Arctic waters would contribute to the safe passage of the Northern sea route by ships and slow down or stop the depletion of bioresources in the future. The work concludes that the neural network can help the development of Arctic waters both environmentally (reducing harm to the marine environment through illegal fishing) and economically (creating a safe sea route from pirates).

Keywords

• iuu fishing (illegal
• unaccountable and uncontrolled fishing)
• reduction of marine resources
• neural network
• arctic waters of the russian federation
• the northeast passage
• piracy