Predictive models improve food safety and shelf life in the industry, suggesting better preservation techniques.
Predictive models for the food industry Gry Carl Terrell from the Danish Meat Research Institute introduces a valuable tool to maximise shelf life and ensure food safety. A predictive model is a mathematical framework or algorithm that forecasts future outcomes based on historical data. Predictive models, such as the models in DMRI Predict, allow for the simulation of various storage and handling scenarios and preservation techniques to assess their impact on food safety and shelf life. This helps in decision-making regarding effective preservation strategies, packaging, distribution, and storage conditions. Finally, the models can serve as documentation towards customers, regulatory, and third-party auditors.
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Gry Carl Terrell (2025) studied this question.
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