Next-Generation Predictive Microbiology: A Software Platform Combining Two-Step, One-Step and Machine Learning Modelling

Microbial growth and inhibition are complex biological processes influenced by diverse environmental and chemical factors, posing challenges for accurate modelling and predic- tion. Traditional mechanistic models often struggle to capture the nonlinear and multi- dimensional interactions inherent in real-world food systems, especially when multiple environmental variables and inhibitors are involved. This study presents the development of a novel, dynamic software platform that integrates...