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1 | Bayesian statistics and the agro-food production chain | 11 |
2 | Bayesian solutions for food-science problems? | 17 |
3 | Bayesian statistics : principles and benefits | 31 |
4 | Calibration in a Bayesian modelling framework | 47 |
5 | Bayesian methods for updating crop-model predictions, applications for predicting biomass and grain protein content | 57 |
6 | Applying prior knowledge to model batch keeping-quality of cucumber batches | 71 |
7 | Risk-analysis of human pathogen spread in the vegetable industry : a comparison between organic and conventional production chains | 81 |
8 | Are bayesian approaches useful in plant pathology? | 95 |
9 | Bayesian networks and food security - an introduction | 107 |
10 | Application of Bayesian belief network models to food-safety science | 117 |
11 | Bayesian statistics for infection experiments | 131 |
12 | Quantitative modelling in design and operation of food supply streams | 141 |
13 | Some explorations into Bayesian modelling of risks due to pesticide intake from food | 145 |
14 | General discussion and conclusion | 163 |
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