About the project
The Interreg Aurora region's food SMEs face increasing pressure to meet legal requirements and rising consumer expectations for food quality and safety. However, due to their small size, most SMEs lack access to up-to-date costly quality control systems to ensure high quality and hygiene throughout the production processes.This project addresses these challenges by testing innovative, affordable technologies. It focuses on developing alternative solutions using spectral and spectral imaging, Artificial Intelligence (AI), and Tiny Machine Learning (TinyML). These tools are intended to improve food quality assessment and documentation and can be used effectively by small and medium-sized enterprises (SMEs), with the goal of making quality control simpler, smarter, safer, and more sustainable.
Project goal
The overall objective of the project is to provide local food producers with affordable tools to preserve and promote Arctic food heritage while enhancing their global competitiveness.UN's Sustainable Development Goals
Viveka Öling-Wärnå
Project Researcher