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Computers can learn to spot fishing activities from vessel movements data captured by satellite receivers. DFO has developed a predictive model to detect fishing activities based on vessel speed, course, and fishing gear type. Another predictive model is developed to detect the main areas of fishing activities. The insights gained from both models can give Canadian fishery officers a bird’s eye view over what is happening on the water leading to more effective management of enforcement efforts.

The Problem

Illegal, Unreported, and Unregulated fishing (IUU) has many negative environmental, economic, and social impacts. It is considered a major contributor to declining fish stocks and marine habitat destruction. IUU fishing represents up to 26 million tonnes of fish caught annually, valued at between $10 to $23 billion USD [1].