Determining spatial feed distribution in sea cage aquaculture using an aerial camera platform
Within this paper we describe an unmanned aerial vehicle (UAV) based method to estimate the spatial feed pellet distribution in salmon fish-cages and exploit it within a case study to determine the radial pellet distribution for different rotor spreaders and blower configurations. Compared to previo...
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Online Access: | http://hdl.handle.net/11250/2637131 https://doi.org/10.1016/j.aquaeng.2019.102018 |
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ftsintef:oai:sintef.brage.unit.no:11250/2637131 2024-09-15T17:56:26+00:00 Determining spatial feed distribution in sea cage aquaculture using an aerial camera platform Lien, Andreas Myskja Schellewald, Christian Stahl, Annette Frank, Kevin Skøien, Kristoffer Rist Tjølsen, Jan Inge 2019-11 application/pdf http://hdl.handle.net/11250/2637131 https://doi.org/10.1016/j.aquaeng.2019.102018 eng eng Elsevier Aquacultural Engineering. 2019, 87:102018 1-9. urn:issn:0144-8609 http://hdl.handle.net/11250/2637131 https://doi.org/10.1016/j.aquaeng.2019.102018 cristin:1743256 Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no © 2019 The Authors. Published by Elsevier B.V. 1-9 87:102018 Aquacultural Engineering Sea cage aquaculture Spatial feed distribution Atlantic salmon Aerial camera system Journal article Peer reviewed 2019 ftsintef https://doi.org/10.1016/j.aquaeng.2019.102018 2024-08-30T03:27:11Z Within this paper we describe an unmanned aerial vehicle (UAV) based method to estimate the spatial feed pellet distribution in salmon fish-cages and exploit it within a case study to determine the radial pellet distribution for different rotor spreaders and blower configurations. Compared to previously used methods, capturing pellets thrown from a rotary feed spreader in rows of Styrofoam boxes, the UAV based method is simpler and faster to setup and allows to cover a larger portion of the sea cage surface area. We compare results obtained with the Styrofoam box method with results we obtained by an automatic analysis of aerial videos taken by the UAV during feeding experiments. The employed method helps to gain insight into the spatial feed pellet distribution in full-scale salmon fish-cages where the feeding pipe and actual fixation of the spreader may influence the dynamic behaviour of the feeding system. This can also be seen as a step towards a continuous measuring of the feed pellet distribution, particularly in view of possible future feeding systems that may allow to adapt the feed pellet distribution to the actual fish distribution. publishedVersion Article in Journal/Newspaper Atlantic salmon SINTEF Open Aquacultural Engineering 87 102018 |
institution |
Open Polar |
collection |
SINTEF Open |
op_collection_id |
ftsintef |
language |
English |
topic |
Sea cage aquaculture Spatial feed distribution Atlantic salmon Aerial camera system |
spellingShingle |
Sea cage aquaculture Spatial feed distribution Atlantic salmon Aerial camera system Lien, Andreas Myskja Schellewald, Christian Stahl, Annette Frank, Kevin Skøien, Kristoffer Rist Tjølsen, Jan Inge Determining spatial feed distribution in sea cage aquaculture using an aerial camera platform |
topic_facet |
Sea cage aquaculture Spatial feed distribution Atlantic salmon Aerial camera system |
description |
Within this paper we describe an unmanned aerial vehicle (UAV) based method to estimate the spatial feed pellet distribution in salmon fish-cages and exploit it within a case study to determine the radial pellet distribution for different rotor spreaders and blower configurations. Compared to previously used methods, capturing pellets thrown from a rotary feed spreader in rows of Styrofoam boxes, the UAV based method is simpler and faster to setup and allows to cover a larger portion of the sea cage surface area. We compare results obtained with the Styrofoam box method with results we obtained by an automatic analysis of aerial videos taken by the UAV during feeding experiments. The employed method helps to gain insight into the spatial feed pellet distribution in full-scale salmon fish-cages where the feeding pipe and actual fixation of the spreader may influence the dynamic behaviour of the feeding system. This can also be seen as a step towards a continuous measuring of the feed pellet distribution, particularly in view of possible future feeding systems that may allow to adapt the feed pellet distribution to the actual fish distribution. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Lien, Andreas Myskja Schellewald, Christian Stahl, Annette Frank, Kevin Skøien, Kristoffer Rist Tjølsen, Jan Inge |
author_facet |
Lien, Andreas Myskja Schellewald, Christian Stahl, Annette Frank, Kevin Skøien, Kristoffer Rist Tjølsen, Jan Inge |
author_sort |
Lien, Andreas Myskja |
title |
Determining spatial feed distribution in sea cage aquaculture using an aerial camera platform |
title_short |
Determining spatial feed distribution in sea cage aquaculture using an aerial camera platform |
title_full |
Determining spatial feed distribution in sea cage aquaculture using an aerial camera platform |
title_fullStr |
Determining spatial feed distribution in sea cage aquaculture using an aerial camera platform |
title_full_unstemmed |
Determining spatial feed distribution in sea cage aquaculture using an aerial camera platform |
title_sort |
determining spatial feed distribution in sea cage aquaculture using an aerial camera platform |
publisher |
Elsevier |
publishDate |
2019 |
url |
http://hdl.handle.net/11250/2637131 https://doi.org/10.1016/j.aquaeng.2019.102018 |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_source |
1-9 87:102018 Aquacultural Engineering |
op_relation |
Aquacultural Engineering. 2019, 87:102018 1-9. urn:issn:0144-8609 http://hdl.handle.net/11250/2637131 https://doi.org/10.1016/j.aquaeng.2019.102018 cristin:1743256 |
op_rights |
Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no © 2019 The Authors. Published by Elsevier B.V. |
op_doi |
https://doi.org/10.1016/j.aquaeng.2019.102018 |
container_title |
Aquacultural Engineering |
container_volume |
87 |
container_start_page |
102018 |
_version_ |
1810432644379312128 |