Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain
Proceedings of the Frontis workshop on Bayesian statistics
and quality modelling in the agro-food production chain
Wageningen, The Netherlands 11 - 14 May 2003
M.A.J.S. van Boekel
Product Design and Quality Management Group, Wageningen University and Research Centre, Wageningen, The Netherlands
Mathematical and Statistical Methods Group, Wageningen University and Research Centre, Wageningen, The Netherlands
A.H.C. van Bruggen
Biological Farming Systems Group, Wageningen University and Research Centre, Wageningen, The Netherlands
Frontis – Wageningen International Nucleus for Strategic Expertise
Wageningen University and Research Centre, Wageningen, The Netherlands
About the book | Table of Contents
The 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.
here for printed version of the Wageningen UR Frontis Series,
available from Springer Science+Business Media (former Kluwer Academic Publishers)