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dc.contributor.authorSkøien, Kristoffer Rist
dc.contributor.authorAlver, Morten
dc.contributor.authorZolich, Artur Piotr
dc.contributor.authorAlfredsen, Jo Arve
dc.date.accessioned2019-01-21T08:05:54Z
dc.date.available2019-01-21T08:05:54Z
dc.date.created2016-09-22T16:21:46Z
dc.date.issued2016
dc.identifier.citationComputers and Electronics in Agriculture. 2016, 129 27-36.nb_NO
dc.identifier.issn0168-1699
dc.identifier.urihttp://hdl.handle.net/11250/2581364
dc.description.abstractPneumatic rotary feed spreaders represent essential equipment in the feeding system of present day industrial-scale sea cage aquaculture. This study presents experimentally obtained attitude measurements and corresponding surface distribution patterns of pellets in order to characterize the dynamic behavior and performance of such spreaders. Spreader attitude and direction were measured by employing an attitude and heading reference system along with a rotary encoder. In addition, an unmanned aerial vehicle (UAV) was used to record pellet surface impacts from the air, and the position and direction of the spreader was obtained by applying computer vision methods to the recorded video. The proposed UAV method was fast to deploy, requires minimal equipment installation and presents a viable alternative to the approach of collecting pellets manually using Styrofoam boxes as reported in earlier studies. The findings from this study may be used as a base for further development and refinement with respect to using an UAV to observe the performance and spatial pellet distribution from various feed spreaders used in aquaculture. Such a tool may be valuable for farmers and equipment producers which may easily evaluate the performance of various spreader designs. In addition, the results serve as valuable input for parametrization and validation of mathematical feed spreader models.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.titleFeed spreaders in sea cage aquaculture – Motion characterization and measurement of spatial pellet distribution using an unmanned aerial vehiclenb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber27-36nb_NO
dc.source.volume129nb_NO
dc.source.journalComputers and Electronics in Agriculturenb_NO
dc.identifier.doi10.1016/j.compag.2016.08.020
dc.identifier.cristin1384372
dc.relation.projectNorges forskningsråd: 223254nb_NO
dc.relation.projectNorges forskningsråd: 174842nb_NO
dc.description.localcodeThis article will not be available due to copyright restrictions (c) 2016 by Elseviernb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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