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Fisheries data analysis

Where should the fisher cast her net to obtain the largest catch of her target species while keeping energy use and expenditures at a minimum? How can we improve the design and operation of fishing vessels to reduce overall CO2 emissions from the fishing fleet? Can we detect illegal or unwanted fishing activity before significant damage to ecosystems has occurred? The answers are in the data.

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We surround ourselves with an increasing number of sensors, systems, and databases which produce and aggregate data about human activities, and the fishing industry is no exception. Energy and fuel consumption, vessel positions, catches, and sales prices—a vast amount of useful information can be provided if only one knows where to look.

By collecting, combining, and analysing data from different sources, we can discover new ways to connect the dots and find the solutions to important problems. In SINTEF, we use fisheries data for, among other things,

  • decision support systems to help fishers perform their operations in a sustainable and cost-efficient manner
  • concepts and technologies for the future’s climate-friendly fishing vessels
  • new methods for monitoring fisheries, fish stocks, and the interaction between them to ensure the interests of nature, industry, and society alike
  • analyses of interactions between fisheries and other ocean industries

We use mathematical and statistical methods like machine learning, time series analysis, regression analysis, and so on, often in connection with methods based on modelling and simulation.


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