Text

Robotics

AIFood

This proposal aims at creating a sustainable and resilient solution for high nutrition food in urban environments, and at the same time, minimize the impact on common resources such as water, energy and transportation.

Concluded

Start

2020-05-11

Conclusion

2021-02-15

Main financing

Research area

Project manager at MDU

No partial template found

Description of the project

Food security for countries that depend on food import, such as Sweden, is subject to high risks when the global supply chains are affected by negative effects of a crisis like Covid-19. The NeighbourFood project makes use of the sharing economy, innovative business models and digital twins to speed up a coping strategy towards the crisis, but also to address the need for climate transition and secure circular and resilient food supply chains.

Smart Urban Farming is an enabler to ensure availability of highly nutritious leafy greens and supply of fresh herbs and vegetables at local level. NeighbourFood aims for food production and a supply model at a very local level for urban consumers i.e. neighbours.

The proposal is based on a tech enabled Farming as a Service (FaaS) model for creation of sharing economy platforms including the neighbours for neighbours and P2P approach. A high in TRL technology is developed and in production by the Agtech company SweGreen will be matured to enable remotely-managed and outsourced production units based on advanced use of AI and the business models that will be tested in the project.


Purpose and goal

This proposal aims at creating a sustainable and resilient solution for high nutrition food in urban environments, and at the same time, minimize the impact on common resources such as water, energy and transportation.

The goal of the project is extending a proven technology for smart urban farming with high TRL to a service level; an enabler for creation of a sharing platform for ensuring food security by local citizens.