An MLP artificial neural network for detection of the degree of saccharification of Arabic gum used as a carrier agent of raspberry powders

K. Przybył; Ł. Masewicz; K. Koszela; A. Duda; M. Szychta; Ł. Gierz

doi:10.1117/12.2602011

30 June 2021 An MLP artificial neural network for detection of the degree of saccharification of Arabic gum used as a carrier agent of raspberry powders

K. Przybył, Ł. Masewicz, K. Koszela, A. Duda, M. Szychta, Ł. Gierz

Author Affiliations +

Proceedings Volume 11878, Thirteenth International Conference on Digital Image Processing (ICDIP 2021); 1187824 (2021) https://doi.org/10.1117/12.2602011
Event: Thirteenth International Conference on Digital Image Processing, 2021, Singapore, Singapore

Abstract

Recently the demand for fruit and vegetable juice powders has increased significantly as there are numerous benefits of using these products in various forms of food. Therefore, it is important to optimise spray drying techniques and find how processing factors influence the quality of powders. For this reason, researchers seek modern methods to aid the assessment of quality of food powders. In this study classes of raspberry powders were distinguished on the basis of selected physical parameters such as: colour expressed in the CIE L* a* b* system, moisture content, and water activity. The classification accuracy of the neural models developed in this study was over 96%.

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K. Przybył, Ł. Masewicz, K. Koszela, A. Duda, M. Szychta, and Ł. Gierz "An MLP artificial neural network for detection of the degree of saccharification of Arabic gum used as a carrier agent of raspberry powders", Proc. SPIE 11878, Thirteenth International Conference on Digital Image Processing (ICDIP 2021), 1187824 (30 June 2021); https://doi.org/10.1117/12.2602011

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