AIFOOD - AI for sustainable FOOD chain from farm to fork
| Reference number | |
| Coordinator | Mälardalens Universitet - Akademin för innovation, design och teknik, Västerås |
| Funding from Vinnova | SEK 6 999 111 |
| Project duration | November 2020 - April 2023 |
| Status | Ongoing |
| Venture | AI - Leading and innovation |
| Call | AI in the service of climate |
Purpose and goal
The purpose of the project is to demonstrate energy & water usage as well as CO2 reduction through (1) data-driven system development for orchestration of infrastructures for energy and resource efficiency, (2) a holistic approach that incorporates multi-stakeholder perspectives, and circular/shared economy aspects (3) integration of the Indoor Vertical Farm (IVF) with its host building for resource efficient operation, (4) development of support tools for the IVF in creation of mid-term tactical and strategic long-term plans for decision making.
Expected results and effects
Firstly, reduction of energy and water usage compared to both traditional farming and other IVF solutions for the same amount of plant-based food. Secondly, inform the citizens about food produced in the cities; facilitate networking and sharing of information. Thirdly, demonstrate complete value chain of food production and supply, i.e. ‘from farm to fork’. Lastly, increased collaboration between AI and climate researchers.
Planned approach and implementation
This is an end-user focused, demonstrator driven project and the technology development process is incremental prototyping, i.e. functionalities will be added when they are tested separately. M1-6: Defining the requirements from different multi-stakeholder, which also feeds into system requirements is central. In parallel edge-AI development. M7-12: Initial system development leading towards Year 1 demo. M13-18: Demo evaluation leading to further development. Dissemination incl. WSs. Focus on publications. M19-25: Final demo development and impact measurement.