A general procedure for predicting the remaining shelf life of nectarines and peaches for virtualization of the value chain

Decision-making along the supply chain requires accurate estimates of remaining shelf life (RSHL) depending upon not only initial storage conditions and duration but also aspects such as variety or condition fruit at harvest. Offering ready-to-eat on retail level, is a frequent marketing strategy in which management mandatory. The most widespread models, so-called generic models for estimating RSHL gather actual temperature series optimal while assuming standard values other parameters Q10 reference life. In this work, general mathematical procedure, corresponding algorithm are proposed to adjust model referring several varieties peaches nectarines. Postharvest protocols simulated obtain recently bred varieties. To aim, was recorded continuously throughout postharvest protocol, instrumental sensory evaluations were taken end each stage protocol. Outputs principal component analysis based data allowed i) identify variables relevant evaluation evolution under ii) define multidimensional estimator particular together with basis solve equation that lead specific study. average bounded 24 d, 30 % shorter (10 d less) than between 1.5 2.8, highlighting varietal effects. Generally, indicative higher susceptibility breakage cold compared