MULTI-GENE GENETIC PROGRAMMING MODELING OF THERMODYNAMIC CHARACTERISTICS OF CONVECTIVELY DRIED COBRA 26 F1 TOMATO, GRAPHIC USER INTERFACE MODEL DEPLOYMENT, AND SENSITIVITY ANALYSIS

Journal: Acta Chemica Malaysia (ACMY)
Author:Hamdan Alanzi, Hamoud Alenezi, Oladayo Adeyi, Abiola J. Adeyi, Abogunrin-Olafisoye Oladunni Bola, Chee-Yuen Gan, Olusegun Abayomi Olalere, Osama Al-Qabandi
ISSN: 2576-6732
e-ISSN: 2576-6724

This is an open access journal distributed under the Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

DOI: 10.26480/acmy.01.2024.01.12

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.