Scientists in Russia and Uganda Train an AI to Feed Fish
An international research team is building an AI-driven system that monitors water quality and optimizes feeding routines in natural and artificial fish farms.
Researchers from Vologda State University and the International University of East Africa are developing an intelligent monitoring and optimization system for fish farming in both natural and artificial reservoirs, according to regional agricultural officials.
After meeting with Vologda-based aquaculture companies, the research team identified two key directions for applying artificial intelligence to fisheries.
Control, Analysis, and Recommendations
The first direction focuses on an autonomous system that tracks the chemical composition of water and maintains microbiome balance. The second centers on a hardware–software platform that monitors feed consumption and individual fish activity. Based on collected data, the system will generate personalized feeding norms tailored to current conditions and expected changes.
The project is expected to accelerate fish-farming productivity, reduce disease rates, and minimize ecological impact.
