A comprehensive review of the dairy pasteurization process using machine learning models

Abstract

Machine learning (ML) is an efficacious tool that can be employed to enhance the pasteurization process through several means. This paper provides an analysis of the present advancements in ML-based pasteurization solutions and emphasizes the potential advantages that ML can offer to the pasteurization process in the dairy sector. ML can effectively monitor the pasteurization process in real-time, anticipate potential equipment malfunctions, enhance the efficiency of the process, and assess the quality of pasteurized products. The aforementioned skills have the potential to enhance the safety and quality of pasteurized products, concurrently leading to cost reduction and improved operational efficiency. Although there are various hurdles related to the implementation of ML. It is important to acknowledge the substantial potential benefits that ML may offer to the pasteurization process that will be beneficial for the dairy sector. With the advancement of ML models and the rising availability of data, it is anticipated that machine learning will assume a progressively significant role in the pasteurization process. This review provides detailed information to researchers, food and dairy technologists, and industrialists to explore new possibilities for applications of ML in the dairy pasteurization process.