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Modeling of the Cracking Efficiency of Tenera Cultivar Palm Nuts Using Comparative Analysis Between Artificial Neural Network and Response Surface Methodology

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Abstract

The drying conditions of Tenera palm nuts was optimized with reference to the cracking efficiency using newly developed drier and modified cracker. The three drying variables considered were drying temperatures (50, 60 and 70 °C), drying periods (18, 21 and 24 h) and age (20, 35 and 50 years) of the palm tree that produced the palm nuts. The cracker performance characteristics were cracking efficiency, the un-cracked percentage and final moisture content. The Box–Behnken rotatable design was adopted to generate seventeen runs of experiment. The experimental data were optimized using response surface methodology (RSM) and Desirability contour plots and compared with Artificial neural network (ANN) model plots. The results show that the optimum drying variables occurred within the neighborhood of drying temperature (60 °C), drying period (21 h) and age (35 year) with corresponding actual, RSM and ANN response values of 98%, 2%, 0% and 10.5%; 97.80%, 1.8%, 0% and 10.52; 97.3%, 2.37%, 0% and 10.72% for cracking efficiency, un-cracked percentage, damage percentage and final moisture content, respectively. The results of the ANOVA show that the quadratic regression modeling equations were significant at p  ≤ 0.05 for all responses.

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Acknowledgements

The authors acknowledge the enormous contributions of Mr. Ajagbe, O. O., Department of Food Science and Technology and Mr. Kolade, J. E., Department of Chemical Engineering, Faculty of Technology, Obafemi Awolowo University, Ile-Ife, in the construction and evaluation of machine.

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Authors and Affiliations

  1. Department of Food Science and Technology, Faculty of Technology, Obafemi Awolowo University, Ile-Ife, Nigeria

    T. A. Morakinyo, K. A. Taiwo & C. T. Akanbi

  2. Department of Food Science and Technology, Faculty of Engineering and Technology, First Technical University, Ibadan, Nigeria

    B. Olawoye

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  1. T. A. Morakinyo
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  2. B. Olawoye
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  3. K. A. Taiwo
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  4. C. T. Akanbi
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Correspondence to T. A. Morakinyo.

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Morakinyo, T.A., Olawoye, B., Taiwo, K.A. et al. Modeling of the Cracking Efficiency of Tenera Cultivar Palm Nuts Using Comparative Analysis Between Artificial Neural Network and Response Surface Methodology. Agric Res 11, 267–280 (2022). https://doi.org/10.1007/s40003-021-00555-x

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