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Project properties |
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| Title | Catch registration lobster fisheries in Easternsheldt |
| Group | Aquatic Ecology and Water Quality Management Group |
| Project type | internship |
| Credits | 24 |
| Supervisor(s) | Jildou Schotanous
Edwin van Helmond Celine van Bijsterveldt (WUR) |
| Examiner(s) | staff member |
| Contact info | Mischa Streekstra (mischa.streekstra@wur.nl via Teams)
Celine van Bijsterveldt (celine.vanbijsterveldt@wur.nl) |
| Begin date | 2023/04/01 |
| End date | 2023/09/01 |
| Description | We are looking for a student who wants to contribute to knowledge collection for the management of the lobster fisheries in the Oosterschelde. You participate in the development of a computer vision system to automatically collect biological data about the lobster catch. To collect these data you will board lobster boats several times a week, take photos and note the length and sex of the lobster. You then help annotate the photos in the office in order to train a computer model to recognize these characteristics (machine learning). With the research you contribute to the development of a method to map the development of the lobster stock. This information is essential for sustainable fisheries management.
The work takes place within this project: https://www.wur.nl/nl/project/lobstar-bestandsschatting-en-beheer-oosterscheldekreeft.htm You will be based in Yrseke. |
| Used skills | Fieldwork, data analysis/statistics |
| Requirements | 'hands on' student with interest in biology, machine learming and small scale fisheries
need to have a valid drivers license. |