Identification of spectral signature for in situ real-time monitoring of smoltification
We describe the use of an optical hyperspectral sensing technique to identify the smoltification status of Atlantic salmon (Salmo salar) based on spectral signatures, thus potentially providing smolt producers with an additional tool to verify the osmoregulatory state of salmon. By identifying wheth...
Published in: | Applied Optics |
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Online Access: | https://hdl.handle.net/11250/2826299 https://doi.org/10.1364/AO.420347 |
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ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/2826299 2023-05-15T15:32:18+02:00 Identification of spectral signature for in situ real-time monitoring of smoltification Svendsen, Eirik Volent, Zsolt Schellewald, Christian Tsarau, Andrei Bjorgan, Asgeir Venås, Birger Bloecher, Nina Bondø, Morten Steen Føre, Martin Jónsdóttir, Kristbjörg Edda Stefansson, Sigurd Olav 2021 application/pdf https://hdl.handle.net/11250/2826299 https://doi.org/10.1364/AO.420347 eng eng Optical Society of America Applied Optics. 2021, 60 (14), 4127-4135. urn:issn:1559-128X https://hdl.handle.net/11250/2826299 https://doi.org/10.1364/AO.420347 cristin:1923557 © 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement 4127-4135 60 Applied Optics 14 Peer reviewed Journal article 2021 ftntnutrondheimi https://doi.org/10.1364/AO.420347 2021-11-03T23:36:40Z We describe the use of an optical hyperspectral sensing technique to identify the smoltification status of Atlantic salmon (Salmo salar) based on spectral signatures, thus potentially providing smolt producers with an additional tool to verify the osmoregulatory state of salmon. By identifying whether a juvenile salmon is in the biological freshwater stage (parr) or has adapted to the seawater stage (smolt) before transfer to sea, negative welfare impacts and subsequent mortality associated with failed or incorrect identification may be reduced. A hyperspectral imager has been used to collect data in two water flow-through and one recirculating production site in parallel with the standard smoltification evaluations applied at these sites. The results from the latter have been used as baseline for a machine-learning algorithm trained to identify whether a fish was parr or smolt based on its spectral signature. The developed method correctly classified fish in 86% to 100% of the cases for individual sites, and had an overall average classification accuracy of 90%, thus indicating that analysis of spectral signatures may constitute a useful tool for smoltification monitoring. publishedVersion Article in Journal/Newspaper Atlantic salmon Salmo salar NTNU Open Archive (Norwegian University of Science and Technology) Applied Optics 60 14 4127 |
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Open Polar |
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NTNU Open Archive (Norwegian University of Science and Technology) |
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ftntnutrondheimi |
language |
English |
description |
We describe the use of an optical hyperspectral sensing technique to identify the smoltification status of Atlantic salmon (Salmo salar) based on spectral signatures, thus potentially providing smolt producers with an additional tool to verify the osmoregulatory state of salmon. By identifying whether a juvenile salmon is in the biological freshwater stage (parr) or has adapted to the seawater stage (smolt) before transfer to sea, negative welfare impacts and subsequent mortality associated with failed or incorrect identification may be reduced. A hyperspectral imager has been used to collect data in two water flow-through and one recirculating production site in parallel with the standard smoltification evaluations applied at these sites. The results from the latter have been used as baseline for a machine-learning algorithm trained to identify whether a fish was parr or smolt based on its spectral signature. The developed method correctly classified fish in 86% to 100% of the cases for individual sites, and had an overall average classification accuracy of 90%, thus indicating that analysis of spectral signatures may constitute a useful tool for smoltification monitoring. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Svendsen, Eirik Volent, Zsolt Schellewald, Christian Tsarau, Andrei Bjorgan, Asgeir Venås, Birger Bloecher, Nina Bondø, Morten Steen Føre, Martin Jónsdóttir, Kristbjörg Edda Stefansson, Sigurd Olav |
spellingShingle |
Svendsen, Eirik Volent, Zsolt Schellewald, Christian Tsarau, Andrei Bjorgan, Asgeir Venås, Birger Bloecher, Nina Bondø, Morten Steen Føre, Martin Jónsdóttir, Kristbjörg Edda Stefansson, Sigurd Olav Identification of spectral signature for in situ real-time monitoring of smoltification |
author_facet |
Svendsen, Eirik Volent, Zsolt Schellewald, Christian Tsarau, Andrei Bjorgan, Asgeir Venås, Birger Bloecher, Nina Bondø, Morten Steen Føre, Martin Jónsdóttir, Kristbjörg Edda Stefansson, Sigurd Olav |
author_sort |
Svendsen, Eirik |
title |
Identification of spectral signature for in situ real-time monitoring of smoltification |
title_short |
Identification of spectral signature for in situ real-time monitoring of smoltification |
title_full |
Identification of spectral signature for in situ real-time monitoring of smoltification |
title_fullStr |
Identification of spectral signature for in situ real-time monitoring of smoltification |
title_full_unstemmed |
Identification of spectral signature for in situ real-time monitoring of smoltification |
title_sort |
identification of spectral signature for in situ real-time monitoring of smoltification |
publisher |
Optical Society of America |
publishDate |
2021 |
url |
https://hdl.handle.net/11250/2826299 https://doi.org/10.1364/AO.420347 |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_source |
4127-4135 60 Applied Optics 14 |
op_relation |
Applied Optics. 2021, 60 (14), 4127-4135. urn:issn:1559-128X https://hdl.handle.net/11250/2826299 https://doi.org/10.1364/AO.420347 cristin:1923557 |
op_rights |
© 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement |
op_doi |
https://doi.org/10.1364/AO.420347 |
container_title |
Applied Optics |
container_volume |
60 |
container_issue |
14 |
container_start_page |
4127 |
_version_ |
1766362812375891968 |