University of Twente Student Theses
Exploring Fishing Vessel Activity Classifications using Machine Learning
Ros, M.F. (2022) Exploring Fishing Vessel Activity Classifications using Machine Learning.
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| Abstract: | Sustainovate AS is a Norwegian company that is developing the OceanBox Smart Data Platform: a sensor-cloud software platform for autonomous collection, analytics and reporting of commercial fisheries sensor data for improved efficiency and responsible fishing. As part of data services, Sustainovate is developing a fish mapping model that is to serve as a basis component for fish biomass estimations, required for sustainable fish management. A key input source for this fish mapping model is catch data. However, in many countries and fisheries catch data is not always (made) available. The development team is now exploring vessel behaviour as measured by AIS data as a proxy for missing catch data. |
| Item Type: | Essay (Master) |
| Clients: | Macaw, Hoofddorp, Netherlands |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Business Information Technology MSc (60025) |
| Link to this item: | https://purl.utwente.nl/essays/93442 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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