If you are a fish farm operator dealing with high electricity bills in water filtration — this project developed AI-driven monitoring and automation that optimizes energy use to lower operational costs.
AI and Digital Tools to Lower Energy Costs in Fish Farming and Fishing
Imagine giving a fish farm a 'smart brain' that automatically adjusts energy use to keep fish happy and healthy. It's like a smart thermostat for the ocean, but for everything from feeding to drying seaweed. This helps boat captains and farm owners stop wasting expensive fuel and electricity.
What needed solving
Aquaculture and small-scale fisheries rely on expensive fossil fuels and energy-heavy systems for feeding, processing, and drying. This leads to high operational costs and failure to meet strict EU climate targets.
What was built
AI-driven monitoring, automation sensors, and a Digital Twin system to optimize energy use in fish farms and vessels.
Who needs this
Who can put this to work
If you are a fleet manager dealing with volatile fuel prices and aging boats — this project developed digital energy-efficient solutions that reduce vessel fuel consumption.
If you are a seaweed producer dealing with energy-heavy drying processes — this project developed optimized digital tools to make macroalgae cultivation low-carbon and more efficient.
Quick answers
What is the cost or price of these solutions?
Based on available project data, specific pricing or cost structures for the developed tools are not provided.
Is this ready for industrial scale?
Yes, the project demonstrates solutions at TRL 6–8 and validates performance and scalability through demonstrations in the North and Baltic Seas.
How is the IP and licensing handled?
Based on available project data, there is no specific information regarding the licensing models or patent ownership.
Which regulations does this help with?
The project helps small-scale fisheries and aquaculture meet EU climate targets and environmental performance standards.
When will the results be available?
The project runs from 2026-06-01 to 2029-05-31, meaning full validation occurs toward the end of this period.
Who built it
The project is heavily industry-driven with a 63% industry ratio, comprising 19 industrial partners including 13 SMEs. With 30 partners across 11 countries, the group covers the entire value chain from technology developers in AI and sensors to actual operators like Danish Salmon and Nordic SeaFarm, ensuring the tools are built for real commercial use rather than just academic research.
Contact IVL Svenska Miljoeinstitutet AB in Sweden
Talk to the team behind this work.
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