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The food market is changing from a producercontrolled to a consumerdirectedmarket. A main driving force is consumer concern about agricultural productionmethods and food safety. More than before the consumer demands transparency ofthe production and processing chain.BRA food chain can be quite complex and theuse of models has become indispensable to handle this complexity. Modellingtools are becoming increasingly important to guide the decisions for productionof highquality and safe agricultural foods. With the aid of models it becomespossible to control and predict quality attributes so that product innovationcan be done more efficiently. However quality is an elusive concept and thereis always an aspect of subjectivity and uncertainty. BRA novel approach in theagrofood chain would be to tackle subjective elements and uncertainty inmodelling by using Bayesian statistics and Bayesian Belief Networks. Bayesianapproaches use prior probabilities partly accounting for subjectivity toestimate posterior probabilities resulting in higher accuracy than is possiblewith classical statistical techniques. Thus the variability and uncertainty indata and decisions inherent in a complex food chain can be dealt with. TOCPFrom the contents BRPreface. Introduction to Bayesian statistics.Methodology. Bayesian approaches to quality and safety in primary foodproduction. Bayesian approaches to quality and safety in food technology.Bayesian approaches in the food chain nutrition and epidemiology. List ofparticipants. P «
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