The Use of Predictive Microbiology for the Prediction of the Shelf Life of Food Products
Food companies need to know how long products stay fresh and safe to eat. This review explains different scientific methods for predicting when food will spoil based on microbial growth. It compares traditional mathematical models with newer computer-based machine learning approaches, showing that newer methods can be more accurate and efficient for determining how long foods can be stored safely.