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dc.contributor.advisorTomic, Oliver
dc.contributor.advisorSolberg, Lars Erik
dc.contributor.advisorKumaran, Santhosh
dc.contributor.authorHolmboe, Jens Kristian Røed
dc.date.accessioned2023-07-06T16:28:02Z
dc.date.available2023-07-06T16:28:02Z
dc.date.issued2023
dc.identifierno.nmbu:wiseflow:6839521:54591686
dc.identifier.urihttps://hdl.handle.net/11250/3076769
dc.description.abstractUse two different detection models and combine them with a tracking algorithm to be able to track fish that can be used in further fish welfare applications.
dc.languageeng
dc.publisherNorwegian University of Life Sciences, Ås
dc.titleFish tracking using detection in aquaculture : a pilot study
dc.typeMaster thesis
dc.description.localcodeM-TDV


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