Part 1 Principles of modelling: Fundamental approaches: Power and pitfalls of deductive modelling; Problem decomposition; Kinetic modelling; Modelling of heat and mass transfer; Combined discrete/continuous modelling. Part 2 Principles of modelling: Empirical approaches: Power and pitfalls of inductive modelling; Data mining; Modelling and prediction in an uncertain environment. Part 3 Applications: Agricultural production: Yield and quality prediction of vegetables; Modelling and management of fruit production; Dairy production; Beef cattle production. Part 4 Applications: Processing technologies: Use of models in process development: The case of fermentation processes; Improving modified atmosphere packaging through conceptual models; Modelling thermal processes: Cooling and freezing; Modelling thermal processes: Heating. Part 5 Applications: Safety and quality in the food chain: Modelling food quality; Modelling microbiological safety; Modelling use of time-temperature indicators in distribution and stock rotation; Modelling the management of distribution centres; Concepts of chain management and chain optimisation.