Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain: 3 (Wageningen UR Frontis Series, 3) - Image 1

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Springer Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain: 3 (Wageningen UR Frontis Series, 3)

Name: Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain: 3 (Wageningen UR Frontis Series, 3)
Brand: Springer
Price: 74.75 GBP
Availability: InStock

Physical Chemistry

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Description

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.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 1402019173
Category: Books > Subjects > Science, Nature & Maths > Chemistry > Physical Chemistry
Domain: Amazon UK
Release Date: 16 August 2004
Listed Since: 12 January 2007

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Springer Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain: 3 (Wageningen UR Frontis Series, 3)

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