Near Perfect Optics

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Hughes, and F. van den Bosch. 2007. The Study of Plant Disease Epidemics. APS Press, St Paul, MN. McRoberts, N. 2006. Karpography: A generic concept of quality for chain management and knowledge transfer in supply chains. Acta Horticulturae 712:153–158. P. K. Brecht. 2003. Quality of strawberries as affected by temperature abuse during ground, in-flight and retail handling operations. Acta Horticulturae 712:239–246. Schepers, H. and O. van Kooten. 2006. Profitability of ready-to-eat strategies. In Quantifying the Agri-Food Supply Chain, eds.

P13 q1 p12 p11 q2 p23 p22 q3 p33 FIGURE 2 QCG depicting the hypothetical possibilities for items to degrade in quality across three quality categories. The probabilities of transition between quality categories over a relevant timescale are indicated by the pij values. * Note that the analysis is not dependent on the number of quality categories; three is chosen as offering an intuitive separation between good and not acceptable by one intermediate category. 2008 7:21pm Compositor Name: BMani xxxi Under this assumption, the QCG contains all the information that is needed to predict what will happen to the composition of a batch of items that is handled by the chain.

We further assume that the quality categories reflect increasing levels of ripeness such that q1 might be thought of as ideal ripeness, q2 as full ripeness to slight overripeness, and q3 as unacceptably overripe. Since the differentiation of produce items into different quality categories (or classes) is dependent on ripening processes, we know that in any interval of time there is a finite probability that an individual item in a quality category qi will mature to quality class qj where j > i, but that transitions in the opposite direction are not possible.

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