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OverviewThe food market is changing from a producer-controlled to a consumer-directed market. A main driving force is consumer concern about agricultural production methods and food safety. More than before, the consumer demands transparency of the production and processing chain. A food chain can be quite complex and the use of models has become indispensable to handle this complexity. Modelling tools are becoming increasingly important to guide the decisions for production of high-quality and safe agricultural foods. With the aid of models it becomes possible to control and predict quality attributes, so that product innovation can be done more efficiently. However, quality is an elusive concept, and there is always an aspect of subjectivity and uncertainty. A novel approach in the agro-food chain would be to tackle subjective elements and uncertainty in modelling by using Bayesian statistics and Bayesian Belief Networks. Bayesian approaches use prior probabilities (partly accounting for subjectivity) to estimate posterior probabilities, resulting in higher accuracy than is possible with classical statistical techniques. Thus, the variability and uncertainty in data and decisions, inherent in a complex food chain, can be dealt with. Full Product DetailsAuthor: M.A.J.S. van Boekel , A. Stein , A.H.C. van BruggenPublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: 2004 ed. Volume: 3 Dimensions: Width: 21.60cm , Height: 0.90cm , Length: 27.90cm Weight: 0.550kg ISBN: 9781402019173ISBN 10: 1402019173 Pages: 163 Publication Date: 16 August 2004 Audience: College/higher education , Professional and scholarly , Tertiary & Higher Education , Undergraduate Format: Paperback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsFrom the contents: Preface.- Introduction to Bayesian statistics.- Methodology.- Bayesian approaches to quality and safety in primary food production.- Bayesian approaches to quality and safety in food technology.- Bayesian approaches in the food chain, nutrition and epidemiology.- List of participants.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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