@inbook{8561cbe8897842f691770a5562b8673d,
title = "Bayesian networks for food science: theoretical background and potential applications",
abstract = "Although Bayesian networks have gained popularity in many fields, they have just recently emerged in food-related problems. This technique can be used as a tool for prediction, explanation, exploration or decision making under uncertainty. The chapter mainly gives a theoretical background of Bayesian networks through a food example. It also discusses the advantages and challenges, as well as potential applications of Bayesian networks in the food area.",
keywords = "Bayesian network theory, Food design, Modeling in food science, Prediction, Uncertainty",
author = "V.A. Phan and M. Dekker and U. Garczarek and {van Boekel}, M.A.J.S.",
year = "2010",
doi = "10.1533/9781845699970.4.488",
language = "English",
isbn = "9781845695675",
series = "Woodhead Food Series",
publisher = "Woodhead Publishing Limited",
number = "195",
editor = "S.R. Jaeger and H. MacFie",
booktitle = "Consumer-driven innovation in food and personal care products",
}