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Libfish · Project

AI-Driven Precision Bottom Fishing to Reduce Fuel Costs and Seabed Damage

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Imagine a vacuum cleaner that can hover just above the carpet instead of scrubbing against it. This project does that for fishing nets, using smart sensors and AI to keep gear off the ocean floor. It helps boats catch fish while burning much less fuel and protecting the sea floor.

By the numbers
80%
reduction in seabed contact
20%
reduction in fuel use
The business problem

What needed solving

Bottom trawling is energy-intensive, expensive to operate, and causes significant seabed damage, leading to regulatory pressure and high fuel overheads.

The solution

What was built

An AI-driven digital twin, IoT sensor networks, electronically piloted trawl doors, and autonomous hydrofoils for precision fishing.

Audience

Who needs this

Commercial trawling fleetsFishing gear manufacturersShipyards specializing in fishing vesselsMarine environmental consultancy firms
Business applications

Who can put this to work

Commercial Fishing
any
Target: Trawling fleet operator

If you are a fleet operator dealing with high fuel prices and environmental regulations — this project developed precision-controlled gear and hybrid propulsion that can lower fuel use by over 20%. This reduces operating costs while meeting green standards.

Maritime Engineering
SME
Target: Fishing gear manufacturer

If you are a gear maker dealing with outdated net designs — this project developed electronically piloted trawl doors and autonomous hydrofoils. These tools reduce seabed contact by up to 80%, creating a high-demand product for sustainable fleets.

Marine Software
SME
Target: Maritime AI developer

If you are a software company dealing with a lack of real-time vessel data — this project developed an AI-driven digital twin and IoT sensor network. This allows for predictive control of vessel dynamics and energy flows in real-time.

Frequently asked

Quick answers

How much will this technology cost to implement?

Based on available project data, specific pricing or implementation costs are not provided; however, the project aims to reduce overall operating costs.

Is this technology ready for industrial scale?

Yes, the project will deliver large-scale demonstrators in the Atlantic and Arctic basin by 2028 to prove readiness for deployment.

How is the intellectual property or licensing handled?

Based on available project data, the project focuses on creating a replication roadmap and open datasets for wider adoption, but specific licensing terms are not listed.

What regulations does this help with?

The project aligns with the European Green Deal and the EU Biodiversity Strategy 2030 by reducing CO2 emissions and seabed disturbance.

When will the results be available for commercial use?

The project runs from 2026 to 2029, with large-scale demonstrators expected by 2028.

Consortium

Who built it

The consortium is highly industry-weighted with 50% industrial partners (9 out of 18), including 5 SMEs. This balance, combined with 4 universities and 4 research organizations across 4 countries, suggests a strong focus on commercial viability and practical deployment rather than just theoretical research.

How to reach the team

Contact COOPERATIVA DE ARMADORES DE PESCA DEL PUERTO DE VIGO in Spain

Next steps

Talk to the team behind this work.

Contact us to connect with the Libfish consortium for early adoption of precision trawling tech.

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