Fish Are Insnared in Neural Networks, Russian Fisheries Say
Russia’s Federal Agency for Fisheries used an analytical AI model to locate commercial concentrations of sardine, boosting catches even during a difficult fishing season.
The use of artificial intelligence in commercial fishing was described by the head of Russia’s Federal Agency for Fisheries, Ilya Shestakov. According to him, during the current season fish failed for a long time to form stable concentrations suitable for large-scale harvesting. Despite the work of many vessels and traditional fishing surveys, the campaign was close to failure.
Narrowing the Search Area
Industry sources say the AI model analyzed a combination of oceanographic and biological data, including water temperature, currents, food supply, and data from previous observations. This made it possible to narrow the search area and quickly adjust fleet operations at a time when traditional methods were failing to deliver results.
According to the agency’s head, the program can rightly be considered a breakthrough for the fishing industry and will be used going forward. It could become a support tool for fishing campaigns, especially as climate change and shifting fish migration patterns make forecasting more difficult.
Fish Will Not Escape Neural Networks
The use of AI in fisheries fits into a broader effort to modernize the sector. In the long term, AI technologies are expected to improve efficiency, reduce costs, and lower pressure on ecosystems by enabling more precise planning of fishing operations.
