Thesis Title: Food quality monitoring using hyperspectral data Description: Food quality monitoring is an important task requested by different parties like companies working in the food industry to monitor the production chain, grocery and restaurants. Fast and reliable analytical methods are necessary to specify the quality of the food at low cost. The non-destructive hyperspectral imaging technique is a good solution for this topic and has been an active research topic in the recent years. The aim of this thesis is to: •??Study the State-of-the-art of the food quality monitoring using hyperspectral imaging •??collect data using a spectroradiometer to compose a dataset of different quality of food (especially meat) •??Prepare a complete classification methodology to discriminate good from bad quality food..