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Springer Bayesian Statistics and Quality Modelling in Agro-Food

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Description

The food market is shifting from producer-controlled to consumer-directed, driven by increasing concerns regarding food safety and agricultural production methods. As consumers demand more transparency throughout the production and processing chain, managing the complexity of these systems becomes a significant challenge. This book provides essential insights into using models to handle the complexities of the food chain. Modeling tools are becoming vital for guiding decisions related to the production of safe, high-quality agricultural foods. By utilizing Bayesian statistics and quality modeling, professionals can better control and predict quality attributes within the agro-food production chain. Part of the Wageningen UR Frontis Series, this volume serves as a resource for understanding how mathematical models can address modern food industry demands. It offers a way to navigate the changing landscape of food production while meeting the rigorous standards for safety and quality that modern consumers expect.

Key Features

Address the shift from producer-controlled to consumer-directed food markets through advanced modeling techniques.

Manage the complexity of modern food chains using specialized modeling tools designed for transparency.

Improve decision-making processes for the production of safe and high-quality agricultural products.

Use Bayesian statistics to help control and predict specific quality attributes within the production chain.

Gain insights into meeting consumer demands for transparency in both production and processing stages.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 March 2004
Listed Since
12 January 2007

Barcode

No barcode data available

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