Projects

Digital classification of quality data in slaughtered fish

Background

To ensure a more sustainable and profitable aquaculture industry, it is crucial to understand the causes of production losses. However, managing data from the slaughtering process presents significant challenges today. The lack of a uniform structure and standardized systems makes it difficult to analyze and link information from slaughterhouses and fish farms.

This project aims to address these challenges by facilitating better data access, analysis, and insights, enabling the industry to make more informed decisions and reduce losses.

Project Goals

The first phase of the project was a feasibility study – “Health Registrations in Aquaculture” – with the goal of proposing a method for describing and storing standardized health data for fish populations (ID fish groups) in aquaculture. This was done using the coding system for loss and mortality causes (in AquaCloud) and outlining how systems can provide data access for users. (See the separate report from NMBU).

The second phase of the project focused on establishing a classification and coding structure for the digital classification of quality data in salmon, forming the foundation for a standard on causes of downgrading at the slaughter line. Additionally, the project aimed to recommend how to digitally implement and make this standard accessible via API (in AquaCloud) and how to integrate it into company-specific management systems.

A key sub-goal was to map out needs and priorities among primary, secondary, and public stakeholders regarding the digitalization of quality data and fish health.

Progress

The results from both phases will be further developed and applied through activities, projects, and services within AquaCloud AS, a subsidiary company. The ambition is to develop a national standard – FishID – and a digital health record for aquaculture, with services supporting this within AquaCloud.

The next steps in working with slaughterhouses will focus on achieving interoperability in the digital value chain, strengthening insights through the AquaCloud data-sharing platform, and expanding the associated API. The technical report will serve as a foundation for prioritizing future development projects and services.

At a glance

Project goal: Establish a classification and coding structure for the digital classification of quality data in salmon.

Project period: 05.06.2023–31.12.2024

Funding: 1.8 MNOK (+ partner contributions)

Financed by: Innovasjon Norge, NCE Seafood Innovation

Partners:

THE SEAFOOD INNOVATION CLUSTER AS

LERØY SEAFOOD GROUP ASA

GRIEG SEAFOOD ASA

BREMNES SEASHORE AS

BAADER NORGE AS

MAREL NORGE AS

SCALE AQUACULTURE AS

FIIZK DIGITAL AS

AKVA GROUP SOFTWARE AS

Project focus: Address industry challenges by enabling better data access, analysis, and insights, allowing for more informed decision-making and loss reduction.

Contact person: Rune Smistad, NCE Seafood Innovation

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