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

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MOKHTARIAN MOHSEN; Kalbasi Ashtari Ahmad; TAVAKOLIPOUR HAMID

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Journal Paper

Paper Information

Journal: PISTACHIO AND HEALTH JOURNAL Year:2020 | Volume:3 | Issue:1 Page(s): 18-31

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Information Journal Paper

Title

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

Author(s)

MOKHTARIAN MOHSEN | Kalbasi Ashtari Ahmad | TAVAKOLIPOUR HAMID | Issue Writer Certificate

Keywords

Fuzzy Logic

Sorption Isotherm

Modeling

Prediction

Ground Pistachio Nut

Abstract

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.

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Cites

Assessing the Performance of a Machine Learning System to Predict Geometrical Properties of Ahmad Aghaei Pistachio Kernels

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APA: Copy

MOKHTARIAN, MOHSEN, Kalbasi Ashtari, Ahmad, & TAVAKOLIPOUR, HAMID. (2020). Performance of Fuzzy Logic Model to Foresee of Ground Pistachio Nut Isotherm. PISTACHIO AND HEALTH JOURNAL, 3(1), 18-31. SID. https://sid.ir/paper/665010/en

Vancouver: Copy

MOKHTARIAN MOHSEN, Kalbasi Ashtari Ahmad, TAVAKOLIPOUR HAMID. Performance of Fuzzy Logic Model to Foresee of Ground Pistachio Nut Isotherm. PISTACHIO AND HEALTH JOURNAL[Internet]. 2020;3(1):18-31. Available from: https://sid.ir/paper/665010/en

IEEE: Copy

MOHSEN MOKHTARIAN, Ahmad Kalbasi Ashtari, and HAMID TAVAKOLIPOUR, “Performance of Fuzzy Logic Model to Foresee of Ground Pistachio Nut Isotherm,” PISTACHIO AND HEALTH JOURNAL, vol. 3, no. 1, pp. 18–31, 2020, [Online]. Available: https://sid.ir/paper/665010/en

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