SciTransfer
IGNITION · Project

AI-Driven Health Monitoring and Sustainable Feed for High-Yield Aquaculture Farming

foodTestedTRL 5

Imagine having a fitness tracker for fish that tells you they are stressed before they actually get sick. This work uses smart sensors and AI to spot early warning signs of illness in fish and shrimp. It also creates a special 'super-food' made from sea plants to make these animals tougher and healthier without using as many drugs.

By the numbers
17
partners
6
industrial partners
6
specific objectives
The business problem

What needed solving

Aquaculture producers face high financial losses due to fish stress and disease, often relying on veterinary drugs that harm the environment and consumer perception.

The solution

What was built

A patented biorefinery process for feed additives, a set of non-invasive biomarkers for health monitoring, and machine learning models for disease prediction.

Audience

Who needs this

Aquaculture feed manufacturersPrecision fish farming tech providersCommercial salmon and seabass producersShrimp farm operators
Business applications

Who can put this to work

Aquaculture Feed Production
any
Target: Animal nutrition manufacturer

If you are a feed producer dealing with the need for sustainable additives — this project developed a patented biorefinery process that converts Salicornia ramosissima into protein-rich feed additives. This allows for the creation of functional feeds that increase animal resilience against heat waves.

Precision Farming Tech
SME
Target: Agri-tech sensor developer

If you are a tech company dealing with high fish mortality rates — this project developed non-invasive biosensors and machine learning tools. These tools identify consistent patterns linked to stress, allowing for earlier detection of problems on farms.

Commercial Fish Farming
enterprise
Target: Large-scale salmon or seabass farm

If you are a farm operator dealing with the stress of transport and vaccination — this project developed new biomarkers and immunization tools. These help improve animal welfare and productivity while reducing the reliance on veterinary drugs.

Frequently asked

Quick answers

What is the cost or price of the developed tools?

Based on available project data, specific pricing or cost structures for the biosensors and feed additives are not provided.

Has the production process reached industrial scale?

The project reports that a dedicated biorefinery process is currently being scaled up to produce sufficient extracts for testing.

Is there any intellectual property or licensing available?

Yes, the biorefinery process for converting Salicornia ramosissima green fibres into fermentable sugars has been patented.

How does this integrate with existing farm management?

The project focuses on non-invasive biosensors and IT tools using machine learning to monitor health and welfare without disturbing the animals.

What is the timeline for market availability?

The project period runs from 2022-11-01 to 2026-10-31, suggesting that final validated tools will be available toward the end of 2026.

Consortium

Who built it

The consortium is well-balanced for commercialization, featuring 17 partners across 8 countries. With a 35% industry ratio (6 companies, including 6 SMEs), there is a strong bridge between the 8 universities and the actual market needs of the aquaculture sector.

How to reach the team

Contact CENTRO INTERDISCIPLINAR DE INVESTIGACAO MARINHA E AMBIENTAL in Portugal

Next steps

Talk to the team behind this work.

Contact us to explore licensing the patented Salicornia biorefinery process.

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