Formalizing the process of artificial aquaculture rearing in pond farming

Moscow Polytechnic University, 107023 Moscow, Russia

^* Corresponding author: askrasnikov@gmail.com

Abstract

A significant portion of fish consumed by people today is artificially farmed. This is due to the simple fact that markets cannot be fully supplied with naturally grown fish due to the exhaustion of fish stocks in the global oceans. Fish farming is the fastest-growing food production sector in the world. Fish farming is a complex process that requires the control and monitoring of numerous environmental and health characteristics. The use of complex solutions that provide data acquisition from measuring devices, results of objective control, their processing, and the creation of recommendations to improve the conditions of hydrobionts on a fish farm is a critical and urgent problem that must be addressed. To solve this, we developed a conceptual simulation model of fish farming processes. This model establishes key objects and their characteristics, as well as rules affecting their changes. We applied the method of system dynamics to create this model. The model can be used in an intelligent system. This system will provide recommendations for effectively managing fish farming processes to ensure the growth of fish to marketable size.