Játtað í:
2020

Granskingarøki:
Náttúruvísindi & tøkni

Verkætlanarslag:
Ph.d.-verkætlan

Verkætlanarheiti:
Viðgerð av mátiúrslitunum frá fleiri fleirstrálaðum ekkóloddinum til nýtslu í alivinnuni.

Játtanarnummar:
0460

Verkætlanarleiðari:
Jóhannus Kristmundsson

Stovnur/virki:
Fiskaaling

Aðrir luttakarar:
Dr. Qin Xin Full Professor of Computer Science, University of the Faroe Islands, Ph.D. in Computer Science from University of Liverpool Co Supervisors: Dr. John Robert Potter IEEE Fellow; Associate Professor at the Norwegian University of Science and Technology, Ph.D in Glaciology and Oceanography Dr. Øystein patursson Managing Director of RAO, Ph.D. in Ocean Engineering from the Univer sity of New Hampshire Signar Pæturssonur Dam Biological Developer, P/F Luna Jan Hammer Egholm Managing Director of Vikmar

Verkætlanarskeið:
01.07.2020 - 30.06.2023

Samlaður kostnaður:
kr. 2.863.592

Stuðul úr Granskingargrunninum:
kr. 930.000

Verkætlanarlýsing:
Aquaculture food production grows faster than other major food production sectors, and in the Faroe Islands, salmon accounts for nearly half of the countries export value. In order to to keep up width the global trend, fish-farming in the Faroe Islands has moved from sheltered locations, to more exposed farming sites. Understanding the behaviour of fish-farming equipment and their inhabitants at exposed sites is important for ensuring fish welfare, and by extension, profits. Measurement equipment and methods make used today make it difficult to obtain an accurate description of the cage and the fish distribution and movement, since the cages are very large and in exposed sites are subject to large deflections and deformations. Typical Sonars have a comparatively high range, compared to optical cameras, but lack the ability to measure in different direction. Multibeam sonars allow for spatial information of its surroundings to be gathered, but suffer from side-lobe interference at distances longer than the distance to large surfaces, such as the water surface. This issue, can largely be mitigated by using multiple multibeam sonars, running in a multistatic configuration. The aim of this project is to develop a multistatic multibeam system and methods to collect and extract spatial information about the extent of the cage, and the distribution of the biomass within. These methods can be used to get a better understanding of the behaviour of fish farming equipment and its inhabitants.

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