SciTransfer
Hungry EcoCities · Project

AI and Creative Design Tools for Sustainable Urban Food Systems and Waste Reduction

foodPrototypeTRL 3

Imagine if artists and AI experts worked together to redesign how cities get their food. They are treating the food chain like a giant puzzle, using digital tools to find ways to stop food waste and make farming more ethical. It is like using a creative laboratory to prototype a smarter, greener way to feed millions of people.

By the numbers
20%
Reduction of greenhouse gas emissions by EU agriculture since 1990
20
S+T+ARTS residencies hosted
3
Prototyping parks realized in Berlin, Milan, and Rotterdam
40
Leading European agricultural companies in the network
The business problem

What needed solving

Current food systems are major drivers of climate change and environmental degradation. There is a lack of creative, tech-driven ways to reduce food waste and make urban food chains more ethical and affordable.

The solution

What was built

The project built 3 prototyping parks in major European cities and a set of AI-enabled digital tools for agri-food end-users.

Audience

Who needs this

Urban farming startupsAgri-food supply chain optimizersSustainable city plannersEco-conscious food retailers
Business applications

Who can put this to work

Agri-Tech
SME
Target: Precision farming software provider

If you are a software provider dealing with inefficient crop distribution — this project developed AI-enabled responsible solutions that help create more sustainable value chains. This allows for better alignment between urban demand and farm production.

Urban Planning
enterprise
Target: Smart city infrastructure developer

If you are a developer dealing with the lack of integrated city-farming spaces — this project developed 3 prototyping parks in Berlin, Milan, and Rotterdam that test city-farming synergies. This provides a blueprint for integrating food production into urban architecture.

Retail & Logistics
mid-size
Target: Food supply chain manager

If you are a manager dealing with high levels of food waste — this project developed digital applications and AI tools that promote eco-friendly attitudes and ethical consumption. This helps reduce waste across the value chain.

Frequently asked

Quick answers

What is the cost or price of implementing these solutions?

Based on available project data, specific pricing for the resulting tools is not listed, though the project received an EU contribution of EUR 2,796,781 for development.

Can these AI solutions be deployed at an industrial scale?

The project explores 'Mega Scale' as one of its three directions for experimentation, suggesting a focus on scalability, though current outputs are prototyping parks.

How is the IP and licensing handled for the AI tools?

Based on available project data, the project includes a plan for the exploitation and dissemination of results, but specific licensing terms are not provided.

What is the timeline for the availability of these tools?

The project runs from 2022-09-01 to 2026-02-28, with 20 residencies taking place over 42 months.

How do these tools integrate with existing agricultural platforms?

The project includes a deliverable to integrate HEClab outcomes with the WEAR Sustain Knowledge Platform and SmartAgriHubs Portal.

Consortium

Who built it

The consortium is a balanced mix of 8 partners across 6 countries, featuring a 38% industry ratio. With 3 SMEs and 3 universities, the group blends academic AI research with practical business application, supported by a network of 40 agricultural companies to ensure real-world relevance.

How to reach the team

Contact VYSOKE UCENI TECHNICKE V BRNE for technical specifications on AI tools.

Next steps

Talk to the team behind this work.

Contact SciTransfer to connect with the 40-company agricultural network involved in this project.

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