Substantial Enhancement of Overall Efficiency and Effectiveness of the Pasteurization and Packaging Process Using Artificial Intelligence in the Food Industry

Abstract

Pasteurization is a necessary process that has to be done in order to ensure the health of the general public and for consumption dates (perished goods). The employment of artificial intelligence in pasteurization changes the course of technology and embodies a radical leap forward in food safety and quality. Artificial intelligence integrates precision, control, and efficiency levels of pasteurization mainstreamed traditionally by conventional food processing methods. Several artificial intelligence applications have been implemented for microbiological safety assessment, predictive modelling, and optimization of pasteurization processes that aim to reduce failure costs due to recall incidents and the necessity for costly quality assurance control measures. By using AI to process, industries can customize the pasteurization temperature and duration of heat in order to sterilize harmful bacteria and pathogens while preserving nutrition. AI also means predictive modelling and in the long run that will help dramatically decrease energy by curbing food waste which affects operational costs and sustainability. The present paper aims to provide an overview of artificial intelligence concerning food pasteurization in terms of process optimization, monitoring and control, microbiological safety assessment, and predictive modelling.