Machine-learning models for the detection of bacterial contamination in the food industry

Approved projects 20:45

Marwan El Chazli


This project aims to develop machine learning models capable of accurately classifying bacterial spectral data acquired through Raman spectroscopy in order to unlock new, fast and more effective quality control solutions for the food industry.

In the Food 4.0 programme, the Swiss Academies of Arts and Sciences, under the leadership of the Swiss Academy of Engineering Sciences SATW, support innovative project ideas that are at the very beginning of development. In particular, the programme supports projects that demonstrate new perspectives for the successful development of the Swiss food system. The selected projects make an important contribution to solving the greatest challenges and address the topics of food waste, sustainability and health.