Επίτευγμα
In-situ detection of adulteration and classification of agro-food products
Development of an experimental methodology, based on lasers and machine learning algorithms, for the rapid, on-line and in-situ detection of adulteration and classification of various foods/products (olive oil, honey and milk) important for the agro-food sector, according to their geographical origin or variety