About Us

In the framework of MI4SaferFood, multispectral imaging (MSI) will be applied, which is a non-destructive technique that can be used to evaluate the quality and safety of the selected fruits and vegetables. Complementing this, the Living Lab methodology will be applied as an open innovation ecosystem focusing on the co-creation, rapid prototyping, testing, and scaling-up of innovations and businesses. It serves as an intermediary among citizens, research organisations, companies, and government agencies to create sustainable impact. In MI4SaferFood, the living lab will facilitate the following:

  Identify stakeholders: engage with relevant stakeholders such as farmers, agricultural experts, policymakers, and consumers to understand their perspectives and needs.

  Collect data: gather data on country-specific crops, food products, climate change projections, and biodiversity indicators. This data can be obtained from various sources such as research institutions, government agencies, and international organisations.

  Model development: develop models that simulate the behaviour of crops and food products under different climate change scenarios. These models can be based on existing scientific knowledge and historical data.

  Scenario creation: Use the developed models to create five indicative scenarios that represent different combinations of climate change variables (e.g., temperature, precipitation) and their impact on crops and food products. These scenarios should reflect the diversity of country- specific conditions.

  Validation and refinement: Validate the model-based scenarios by comparing them with real- world observations and expert opinions. Refine the scenarios based on feedback from stakeholders to ensure their accuracy and relevance.