Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain

Language: English

Published by Springer Netherlands, Springer Netherlands Mär 2004, 2004

1402019165 / 9781402019166

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 172 pp. Englisch.

Seller Inventory # 9781402019166

Title
Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain
Author
M. A. J. S. van Boekel
Publisher
Springer Netherlands, Springer Netherlands Mär 2004
Publication year
2004
Condition
Neu
Binding
Buch
Language
English
ISBN 10
1402019165
ISBN 13
9781402019166
Item weight
430 grams
Dimensions
241x160x13 mm

buchversandmimpf2000

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