D2.1 - Innovative Sensor Technologies for Agrifood Quality Assessment

In the agrifood sector, ensuring product quality and authenticity is critical for both producers and consumers. Optical sensor technologies, such as fluorescence and Raman spectroscopy, integrated with machine learning, enabling rapid, non-invasive, and cost-effective analysis and have still a large potential for real-time monitoring of agrifood products. Particularly for portable sensing devices, data-driven prediction models can improve transparency and sustainability in the agrifood supply chain. An example is the quality determination of extra virgin olive oil and wine

Evaluation methods · Physics · Quality (philosophy · Quality assessment · Reliability engineering · Advanced Chemical Sensor Technologies · Computer Science · Engineering · Spectroscopy and Chemometric Analyses