Further development of age determination methods for commercial fish species
Age composition data for fish stocks are essential input parameters for stock assessment. It is therefore necessary to permanently develop age determination methodology further.
Age composition data for fish stocks are essential input parameters for stock assessment. The methodology of age determination is being permanently developed further in order to work efficiently and to reach consistent results. In this respect, state-of-the-art processing methods (e.g. fully automated otolith sectioning machines) and investigation methods (e.g. digital image analysis) are being employed.
In a PhD project, we test artificial intelligence (AI) methods for age determination.
Fisheries science
The age of fish is being determined by counting growth zones in their ear stones (otoliths). Using state-of-the-art processing techniques and image analysis, annual rings (increments) become visible and are used for age determination.
Please see here for details on the utilization of AI methods for age reading.
Age composition data for fish stocks are essential input parameters for stock assessment. It is therefore necessary to permanently develop age determination methodology further.
1.2008 - 12.2027
Projekt type:
Project status:
ongoing
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