Applications of Machine Learning in Food Safety

Abstract

Food safety has a major correlation with health related to the public. Machine learning can be a great help for large volume and emerging data sets to enhance the safety of the food supply and minimise the impact of food safety incidents. Pathogen genomes which are food borne and unique data streams, transactional, including text, and trade data, have ample emerging applications initiated by a machine learning approach, like prediction of antibiotic resistance, source related pathogens, and detection of food borne outbreak and also assessment of risk. In this chapter, a gentle introduction of machine learning in the pretext of food safety and a detailed overview of various developments and applications has been enumerated.