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Photo: Manuel Gutjahr


Information Agrifood quality estimation using hyperspectral techniques
Coordinating Institute
Agricultural University of Athens
University of Dublin
Flanders Research Institute for Agriculture, Fisheries and Food
Agricultural University of Athens

Project team ATB
Allocated to research program
One of the most important challenges the modern world is facing is food insecurity, while little progress has been achieved at introducing non-destructive and reliable food quality assesment methods at both pre- and post-harvest stages. SPECTROFOOD aspires to develop digital technology solutions for use in the agri-food value chain, combining innovative Hyperspectral Imaging Systems, Artificial Intelligence techniques, analytic tools, and data platform - related solutions. At its core, SPECTROFOOD is formed by four use cases, demonstrated with end-users from the primary production, processing, packaging, and distribution across different high-value and perishable crops, that will exhibit the business case of digital innovations for a number of impactful application areas at each stage of the agri-food value chain. SPECTROFOOD recognises that solutions must be practicable and commercially viable in order to ensure citizen buy in and industry implementation. Therefore, the SPECTROFOOD methodology creates easily adaptable digital technology solutions able to be harmonised with existing quality evaluation systems, as well as widely reusable mechanisms in a variety of environments, while proving the scalability and efficiency of the system proposed. The SPECTROFOOD digital technology solution may potentially lead to the reduction of food waste and the optimal use of production inputs, taking steps for a transition towards resilient and sustainable agri-food value chains.

Bundesministerium für Ernährung und Landwirtschaft (BMEL)
Funding agency
Bundesanstalt für Landwirtschaft und Ernährung - Projektträger


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