Norway Royal Salmon enhances sustainable salmon farming with AI-driven analytics
Norway Royal Salmon (NRS), a leading Nordic aquaculture company, produces around 70,000 tons of salmon annually. Operating in harsh northern Norway, NRS sought to improve operational efficiency, worker safety, and environmental sustainability in salmon farming. Partnering with Microsoft and ABB, NRS piloted an AI-driven analytics solution leveraging Azure Cloud and ABB Ability. The implementation uses underwater cameras to capture fish images in offshore pens, with computer vision and AI to estimate biomass and fish populations. This system reduces reliance on manual, open-sea labor, improves fish health monitoring, and supports data-driven decision making. As a result, the farm can reduce operational costs and minimize CO2 impact, aligning with sustainability goals and ensuring cleaner seas. ABB’s expertise combined with Azure’s scalable cloud supports reliable, real-time monitoring and analytics. This effort exemplifies cross-disciplinary co-creation involving NRS, ABB, and Microsoft, and led to quick solution deployment from ideation to onsite installation.
- Organization
- Norway Royal Salmon
- Industry
- Agriculture
- Location
- Norway
- Published
- January 2020
Reported outcomes
Strategic outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Norway Royal Salmon
- Provider
- Microsoft
- Maturity
- Scaled Production
- Linked source
- news.microsoft.com
Difficulty in monitoring fish health and growth at scale using traditional manual approaches
Primary read
Use case focus
Showing 3 of 3
- 1Automated biomass estimation via underwater computer vision
- 2Fish population monitoring using AI
- 3Remote aquaculture operations management
- Need to improve safety for employees operating in harsh and risky offshore environments.
- Pressure to reduce operational costs in large-scale salmon farming.
- Requirement to prioritize environmental sustainability and lower CO2 emissions.
- Difficulty in monitoring fish health and growth at scale using traditional manual approaches.
- Adopted Azure Cloud for centralized data processing and analytics.
- Deployed ABB Ability platform for domain-specific fish farming operations.
- Implemented AI-powered computer vision for biomass estimation and population counting using underwater cameras.
- Automated data collection and analysis to reduce manual workload and improve decision-making.
- Reduced need for employees to operate at sea, enhancing safety.
- Lowered operational costs through automation and better efficiency.
- Decreased CO2 footprint due to optimized operations and fewer boat journeys.
- Improved fish welfare and cleaner seas via proactive monitoring and management.
Architecture
Underwater cameras in offshore pens continuously capture images of salmon. Video feeds are processed with a layer of AI for visual object detection. Azure Cloud handles data storage and analytics, while ABB Ability connects device-to-cloud for seamless industrial integration. Automatic estimation of biomass and population informs farm operations and reduces manual intervention.
Sources & evidence1
- Customer explicitly identified
- Deployment status explicitly supported
- Independent source available
- Technical implementation details available
AI-generated summary. Verify important details with the linked sources before relying on this case.
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