Preliminary project
The preliminary project has focused on identifying the key needs and requirements for a classification system to categorise loss and mortality causes, particularly emphasising the Norwegian aquaculture industry.
By understanding and addressing these needs, the project aims to establish a foundation for a more accurate and systematic approach to classification.
Improved classification of mortality causes has the potential to deliver significant benefits for fish farmers and society as a whole. For farmers, a more precise system provides better insights into health management, allowing them to implement targeted measures to reduce losses and improve fish welfare.
For society, the resulting efficiencies and sustainable practices contribute to enhanced food security, reduced waste, and greater economic value from aquaculture operations. This initiative underscores the importance of data-driven approaches in addressing critical challenges within the industry.
Target Statement:
Develop a classification system for loss and mortality causes in Norwegian aquaculture to improve accuracy and systematic categorization.
Expected Result Statements:
1. Identify key needs and requirements for an effective classification system.
2. Enable fish farmers to gain better insights into health management and loss reduction.
3. Support targeted measures to improve fish welfare and operational efficiency.
4. Enhance food security, reduce waste, and increase economic value for society.
5. Promote data-driven approaches to address critical aquaculture challenges.
Main Project
The project involves a new system for codifying losses and mortalities in the salmon farming industry. When the system is implemented in the industry, it is expected to deliver significant benefits, including enhanced learning, improved health management, and reduced mortality and losses. Project analyses suggest that even moderate improvements could generate an annual benefit of NOK 5 billion for the Norwegian aquaculture sector.
The data and results from the system can be used for various purposes, including:
- Monitoring production units, companies, regions, and national trends.
- Managing resources in aquaculture, supplier sectors, regulatory bodies, and research initiatives.
- Linking mortality data with control measures, diagnostic results, and environmental records to provide new insights for research.
- Developing knowledge and supporting future innovations.
System-level measures are necessary for lasting effects. Improvements will reduce costs, increase product value, and boost production volumes, yielding substantial benefits. Insights into the underlying causes of loss and mortality are key to effective control and prevention, driving sustainability and growth in aquaculture.
Target Statement:
Implement a standardized system for codifying losses and mortalities in salmon farming to enhance learning, health management, and industry efficiency.
Expected Result Statements:
1. Improve monitoring of production units, companies, regions, and national trends.
2. Enable better resource management across aquaculture, supplier sectors, regulators, and research.
3. Link mortality data with control measures, diagnostics, and environmental factors for deeper insights.
4. Support research, knowledge development, and future innovations.
5. Reduce costs, increase product value, and boost production volumes.
6. Generate an estimated NOK 5 billion annual benefit for Norwegian aquaculture.
7. Strengthen sustainability and growth through effective loss and mortality prevention.
