The available database comprises research projects in Fisheries, Aquaculture, Seafood Processing and Marine Biotechnology active in the time period 2003-2022.
BlueBio is an ERA-NET COFUND created to directly identify new and improve existing ways of bringing bio-based products and services to the market and find new ways of creating value from in the blue bioeconomy.

More information on the BlueBio project and participating funding organizations is available on the BlueBio website: www.bluebioeconomy.eu

Last Update: 2024/06/19

NA
Fisheries
Seafood Processing
Aquaculture
Technology for grading and sorting of fish - focus on gutted salmon, herring and mackerel
National Programme
National
Stein Ove Østvik
stein.ove.ostvik@fhf.no
FHF - Norwegian Seafood Research Fund (Norway)
NA - APS Automasjon (Norway)NA - Avanti Engineering AS (Norway)MMC - MMC Tendos AS (Norway)FHL - Norwegian Seafood Federation (Norway)
2008
2012
€ 704,515
https://prosjektbanken.forskningsradet.no/project/FORISS/184959?Kilde=FORISS&distribution=Ar&chart=bar&calcType=funding&Sprak=no&sortBy=date&sortOrder=desc&resultCount=30&offset=0&Organisasjon.3=OSLO+KOMMUNE+KULTURETATEN
The Norwegian fisheries and aquaculture industry presently faces a challenge in competing with countries with low labour cost and thus low production costs such as Chile and Poland. In order to create an economical robust business environment, the Norwegian fish industry should focus on optimizing the cost efficiency in production through automation. Today farmed Norwegian Atlantic salmon is manually graded into quality classes in order to ensure a uniform and high quality. Pelagic fish is automatically weight-graded using mechanical grading systems, and quality grading is done by manual inspection. The accuracy of both the manual quality grading and mechanical weight grading has the potential to be improved, and completely automating these tasks will lead to lower production costs, more accurate, objective and cost-effective grading/sorting, which will give stronger market positioning for the fish industry. From a wide range of potential sensor technologies, computer vision offers the most suitable technology for use in automation of sorting and grading of Atlantic salmon and pelagic fish. The main objective of the project is to strengthen the competence to develop and optimize processes and technology for automated quality grading and sorting of whole farmed Atlantic salmon and pelagic fish (herring and mackerel). In cooperation with APS Automasjon, Avanti Engineering, MMC-Tendos and FHL Pelagisk Forum, Sintef Fisheries and Aquaculture aims to: 1: Establish quantifiable grading criteria for whole Atlantic salmon and pelagic fish. 2: Develop of sensor and measurement system concepts for sorting and grading. 3: Develop of mechanical design concepts for feeding and presenting the fish to the grading system 4: Develop and build of expertise with the focus on applicable results which can easily be transformed into industrial solutions
Mackerel; Process efficiency; Herring; Fish; Engineering; Salmon;
Not associated to marine areas
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If there is any incorrect or missing information on this project please access here or contact bluebio.database@irbim.cnr.it
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