SciTransfer
INNOECOFOOD · Project

AI-Driven Sustainable Aquaculture and Insect Protein Production Hubs for EU-AU Trade

foodPilotedTRL 7

Imagine a smart farm that uses sensors and AI to grow fish, spirulina, and insects all in one place. It works like a closed loop where waste from one process becomes food for another, powered by the sun and wind. This setup turns raw materials into high-protein food and feed that meet strict safety and quality standards for international sale.

By the numbers
4
sustainable agribusiness rural ECOHUBS
120
youth trained
120
women trained
5000
rural workers trained
21
consortium partners
The business problem

What needed solving

African aquaculture producers struggle with inefficient production, high waste, and a lack of certification to enter lucrative EU markets. There is a critical gap in sustainable, high-protein food processing in rural areas.

The solution

What was built

Four solar/wind-powered ECOHUBS and a network of Living Labs utilizing AI, IoT sensors, and extrusion processing for fish, spirulina, and insects.

Audience

Who needs this

Aquaculture equipment manufacturersSustainable feed producersEU-Africa trade exportersAgri-tech AI developersAlternative protein investors
Business applications

Who can put this to work

Aquaculture & Mariculture
mid-size
Target: Commercial fish farm operator

If you are a fish farm operator dealing with high feed costs and waste management—this project developed AI and IoT monitoring for catfish and tilapia that optimizes production and upcycles fish waste into new products.

Alternative Proteins
SME
Target: Insect-based protein producer

If you are an insect protein producer dealing with inconsistent quality and high energy costs—this project developed solar-powered drying and extrusion processing to create certified human food and animal feed.

Agri-Tech
any
Target: IoT and Sensor provider

If you are a tech provider dealing with the challenge of deploying hardware in rural African environments—this project developed a network of Living Labs and ECOHUBS using AI sensors to monitor aquaculture value chains.

Frequently asked

Quick answers

What is the estimated cost or price of the technology?

Based on available project data, specific pricing or cost structures for the ECOHUBS and AI tools are not provided.

Can this be scaled to an industrial level?

Yes, the project aims for TRL7 by establishing four agribusiness rural ECOHUBS and training 5000 rural workers to ensure scalable production and marketing.

How is the IP handled or licensed?

Based on available project data, there are no specific details regarding IP licensing or patenting strategies.

What regulations or certifications are addressed?

The project implements Good Manufacturing Practice, Quality Control, and specific certification schemes to support EU-AU markets and trade.

What is the project timeline for deployment?

The project runs from 2024-01-01 to 2026-12-31, with activities currently in the kick-off and harmonization phase.

Consortium

Who built it

The consortium is highly diversified with 21 partners across 10 countries, blending academic research (6 universities, 9 research centers) with practical industry application (4 industry partners, including 4 SMEs). This 19% industry ratio suggests a strong push toward commercialization, while the geographical spread across Europe and Africa ensures the technology is tested in the actual target markets.

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 opportunities for AI-driven aquaculture monitoring.

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