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dc.contributor.authorLien, Andreas Myskja
dc.contributor.authorSchellewald, Christian
dc.contributor.authorStahl, Annette
dc.contributor.authorFrank, Kevin
dc.contributor.authorSkøien, Kristoffer Rist
dc.contributor.authorTjølsen, Jan Inge
dc.date.accessioned2020-01-13T09:41:18Z
dc.date.available2020-01-13T09:41:18Z
dc.date.created2019-11-01T13:05:02Z
dc.date.issued2019
dc.identifier.citationAquacultural Engineering. 2019, 87:102018 1-9.nb_NO
dc.identifier.issn0144-8609
dc.identifier.urihttp://hdl.handle.net/11250/2635874
dc.description.abstractWithin 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.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleDetermining spatial feed distribution in sea cage aquaculture using an aerial camera platformnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber1-9nb_NO
dc.source.volume87:102018nb_NO
dc.source.journalAquacultural Engineeringnb_NO
dc.identifier.doi10.1016/j.aquaeng.2019.102018
dc.identifier.cristin1743256
dc.description.localcodeCopyright © 2019 by the authors. CC-BY-NC-ND license.nb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal