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Multi-Gene Genetic Programming Modeling Of Thermodynamic Characteristics Of Convectively Dried Cobra 26 F1 Tomato, Graphic User Interface Model Deployment, And Sensitivity Analysis

Author

Listed:
  • Hamdan Alanzi

    (Department of Chemical Engineering Technology, College of Technological Studies. The Public Authority for Applied Education and Training, Kuwait)

  • Osama Al-Qabandi

    (School of Engineering and Technology, Chemical Engineering Department, American University of Middle East, Egaila, Kuwait)

  • Abiola J. Adeyi

    (Department of Biological and Chemical Science, Industrial Chemistry program, Michael and Cecilia Ibru University, Agbarha-Otor, P.M.B. 100 Ughelli North Delta State, Nigeria)

  • Hamoud Alenezi

    (Department of Chemical Engineering, Michael Okpara University of Agriculture, PMB 7267, Umudike, Abia State, Nigeria)

  • Oladayo Adeyi

    (Forest Research Institute of Nigeria, PMB 5054, Jericho Ibadan, Oyo State, Nigeria)

  • Abogunrin-Olafisoye Oladunni Bola

    (Analytical Biochemistry Research Centre (ABrC), Universiti Sains Malaysia, Malaysia.)

  • Chee-Yuen Gan
  • Olusegun Abayomi Olalere

    (Department of Chemical Engineering. University of Bath. United Kingdom)

Abstract

This study explores the thermodynamic characteristics of convectively dried Cobra 26 F1 tomatoes at various temperatures and after different thermal pre-treatments. Employing Multi-gene Genetic Programming (MGGP), the refined model accurately predicts energy utilization (EU), energy utilization ratio (EUR), exergy loss (ExLoss), and exergy efficiency (ExEff). The MGGP model, structured with 100 populations, 150 generations, and 4 trees, demonstrated superior performance, with R2 values of 0.9155, 0.9116, 0.9756, and 0.9736 for EU, EUR, ExLoss, and ExEff, respectively. The model was successfully deployed to a graphic user interface (GUI), achieving high accuracy rates of 99.97-99.99% when tested on randomly selected drying conditions. Monte Carlo simulation was employed to assess the sensitivity of thermodynamic characteristics to drying factors, revealing significant influences of temperature, time, and pre-treatment variations. The results indicate the EU, EUR, ExLoss, and ExEff responses to temperature, time, and pre-treatment changes, providing valuable insights for sustainable process design, management, control, and commercialization of dried Cobra 26 F1 tomato production. Overall, this research contributes essential knowledge for enhancing the efficiency and sustainability of dried food production processes.

Suggested Citation

  • Hamdan Alanzi & Osama Al-Qabandi & Abiola J. Adeyi & Hamoud Alenezi & Oladayo Adeyi & Abogunrin-Olafisoye Oladunni Bola & Chee-Yuen Gan & Olusegun Abayomi Olalere, 2024. "Multi-Gene Genetic Programming Modeling Of Thermodynamic Characteristics Of Convectively Dried Cobra 26 F1 Tomato, Graphic User Interface Model Deployment, And Sensitivity Analysis," Acta Chemica Malaysia (ACMY), Zibeline International Publishing, vol. 8(1), pages 01-12, March.
    • Handle: RePEc:zib:zbacmy:v:8:y:2024:i:1:p:01-12
    DOI: 10.26480/acmy.01.2024.01.12
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    References listed on IDEAS

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    1. Safoura Zadhossein & Yousef Abbaspour-Gilandeh & Mohammad Kaveh & Mariusz Szymanek & Esmail Khalife & Olusegun D. Samuel & Milad Amiri & Jacek Dziwulski, 2021. "Exergy and Energy Analyses of Microwave Dryer for Cantaloupe Slice and Prediction of Thermodynamic Parameters Using ANN and ANFIS Algorithms," Energies, MDPI, vol. 14(16), pages 1-19, August.
    2. Abiodun Okunola & Timothy Adekanye & Endurance Idahosa, 2021. "Energy and exergy analyses of okra drying process in a forced convection cabinet dryer," Research in Agricultural Engineering, Czech Academy of Agricultural Sciences, vol. 67(1), pages 8-16.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Energy and exergy; sensitivity analysis; Cobra 26 F1 tomato; modelling; drying; multi-gene genetic programming;
    All these keywords.

    JEL classification:

    • F1 - International Economics - - Trade

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