Includes bibliographical references and index.

Print version record.

Preliminaries; Contents; Preface; 1 The power and pitfalls of deductive modelling; 2 Problem decomposition; 3 Kinetic modelling; 4 The modelling of heat and mass transfer; 5 Combined discrete continuous modelling; 6 The power and pitfalls of inductive modelling; 7 Data mining; 8 Modelling and prediction in an uncertain environment; 9 Yield and quality prediction of vegetables the case of cucumber; 10 Modelling and management of fruit production the case of tomatoes; 11 Dairy production; 12 Beef cattle production; 13 The use of models in process development the case of fermentation processes.

Food process modelling provides an authoritative review of one of the most exciting and influential developments in the food industry. The modelling of food processes allows analysts not only to understand such processes more clearly but also to control them more closely and make predictions about them. Modelling thus aids the search for greater and more consistent food quality. Written by a distinguished international team of experts, Food process modelling covers both the range of modelling techniques and their practical applications across the food chain.

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