The Potential of Big Data for Improving Pelagic Fisheries Sustainability
Abstract The use of big data methods and tools are expected to have a profound effect on the pelagic fisheries sustainability and value creation. The potential impact on fuel consumption, planning and fish stock assessments is demonstrated in six different pilot cases. These cases cover the Spanish...
Main Authors: | , , , |
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Other Authors: | |
Format: | Book Part |
Language: | unknown |
Published: |
Springer International Publishing
2021
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Subjects: | |
Online Access: | http://dx.doi.org/10.1007/978-3-030-71069-9_28 https://link.springer.com/content/pdf/10.1007/978-3-030-71069-9_28 |
Summary: | Abstract The use of big data methods and tools are expected to have a profound effect on the pelagic fisheries sustainability and value creation. The potential impact on fuel consumption, planning and fish stock assessments is demonstrated in six different pilot cases. These cases cover the Spanish tropical tuna fisheries in Indian Ocean and the Norwegian small pelagic fisheries in the North Atlantic Ocean. The areas encompassed by these pilots have an annual capture production above 13 million tonnes. |
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