Digital tools for operational fishing forecasts

Problem addressed

Locating target species without predictive tools can mean more time spent at sea, higher fuel consumption and a greater risk of unwanted catches. In addition, uncertainty in operational planning can reduce the competitiveness and profitability of fishing activities.

What we do and how we do it

• We develop predictive models based on historical catch data, oceanographic information and environmental variables.
• We create algorithms capable of identifying, in real time, areas where target species are most likely to occur.
• We apply artificial intelligence techniques to improve model accuracy and their ability to learn from new data.
• We support fishing fleets in implementing these tools and provide training in their use.

Key benefits

• Greater likelihood of catching target species with less effort and lower operating costs.
• Fuel savings and reduced emissions.
• Fewer unwanted catches through data-driven planning.
• Greater fleet profitability and competitiveness.
• Ability to anticipate changes in species distribution.