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  Towards fish individuality-based aquaculture

Schraml, R., Hofbauer, H., Jalilian, E., Bekkozhayeva, D., Saberioon, M., Cisar, P., Uhl, A. (2021): Towards fish individuality-based aquaculture. - IEEE Transactions on Industrial Informatics, 17, 6, 4356-4366.
https://doi.org/10.1109/TII.2020.3006933

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5002614 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5002614_6
Genre: Journal Article

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 Creators:
Schraml, Rudolf1, Author
Hofbauer, Heinz1, Author
Jalilian, Ehsaneddin1, Author
Bekkozhayeva, Dinara1, Author
Saberioon, Mohammadmehdi2, Author              
Cisar, Petr1, Author
Uhl, Andreas1, Author
Affiliations:
1External Organizations, ou_persistent22              
21.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146028              

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 Abstract: By bringing concepts of precision farming to intensive aquaculturem fish production can be optimized to be more sustainable while focusing on fish welfare criteria. This means to shift from mass to smart production which requires to consider each fish as an individual instead of viewing on the total stock of fish. Therefore it is required to be able to identify each fish in a tank or sea cage. In this paper, we prove the feasibility of fish identification using the iris as biometric characteristic. For this purpose, a new database was captured which enables us to consider the basic feasibility as well as to prove the permanence of the iris pattern of Atlantic salmon in terms of ageing. Results show that the iris pattern of Atlantic salmon is suited for biometric identification, but the pattern changes significantly in short periods.

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Language(s): eng - English
 Dates: 202020202021
 Publication Status: Finally published
 Pages: -
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 Rev. Type: -
 Identifiers: GFZPOF: p4 T5 Future Landscapes
DOI: 10.1109/TII.2020.3006933
OATYPE: Hybrid Open Access
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Title: IEEE Transactions on Industrial Informatics
Source Genre: Journal, SCI, Scopus
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Pages: - Volume / Issue: 17 (6) Sequence Number: - Start / End Page: 4356 - 4366 Identifier: CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/202007151
Publisher: Institute of Electrical and Electronics Engineers (IEEE)