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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Published in:Aquacultural Engineering
Main Authors: Lien, Andreas Myskja, Schellewald, Christian, Stahl, Annette, Frank, Kevin, Skøien, Kristoffer Rist, Tjølsen, Jan Inge
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2019
Subjects:
Online Access:http://hdl.handle.net/11250/2637131
https://doi.org/10.1016/j.aquaeng.2019.102018
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spelling 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
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