D2.1 - Innovative Sensor Technologies for Agrifood Quality Assessment
- Event
- SMSI 2025
2025-05-06 - 2025-05-08
Nürnberg - Band
- Lectures
- Chapter
- D2 - Sensors for Agrifood Quality
- Author(s)
- F. Venturini - ZHAW Zurich University of Applied Sciences, Winterthur (Switzerland)
- Pages
- 188 - 189
- DOI
- 10.5162/SMSI2025/D2.1
- ISBN
- 978-3-910600-06-5
- Price
- free
Abstract
In the agrifood sector, ensuring product quality and authenticity is critical for both producers and con-sumers. 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 po-tential 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.