Performance of Fuzzy Logic Model to Foresee of Ground Pistachio Nut Isotherm

Introduction: One of the most popular nuts in Iran is Pistachio (Pistachia vera L.). This nut is used as a food additive due to its high and uniquenutritional properties. Postharvest operations such as handling, cleaning, packaging and storing conditions have considerable effects on sensory attributes, the nutraceutical benefits, and shelf-life. Therefore, this research aims to predict the EMC of ground pistachio nut (GPN) undergoing 20oC storage based on two key criteria [i.e. T and ERH= (aw×100)] and application of the intelligent system of fuzzy logic. Materials and Methods: The fuzzy logic model (FLM) was used to foresee of the EMCs (ads. /des.) behavior of GPN. First, the data obtained for EMC were run in MATLAB software & the fuzzy logic package was applied for EMC modeling of GPN. The variables were divided into two groups: inlet including storage temperature and water activity (aw) and outlet is EMCs. Next, effective verbal variables were defined for both dependent and independent variables. Results: The FLM could predict EMCs (ads. /des.) of GPN with an R2 value equal to 0.9959 and 0.9869, respectively Conclusions: Totally, the obtained results of present study are operational by workstations of GPN producer & theirplants to control the shelflife.