Application of artificial neural networks in recognizing carrier based on the color of raspberry powders obtained in the spray-drying process

Krzysztof Przybył; Jolanta Wawrzyniak; Katarzyna Samborska; Łukasz Gierz; Krzysztof Koszela; Marek Szychta

doi:10.1117/12.2645926

12 October 2022 Application of artificial neural networks in recognizing carrier based on the color of raspberry powders obtained in the spray-drying process

Krzysztof Przybył, Jolanta Wawrzyniak, Katarzyna Samborska, Łukasz Gierz, Krzysztof Koszela, Marek Szychta

Author Affiliations +

Proceedings Volume 12342, Fourteenth International Conference on Digital Image Processing (ICDIP 2022); 123420V (2022) https://doi.org/10.1117/12.2645926
Event: Fourteenth International Conference on Digital Image Processing (ICDIP 2022), 2022, Wuhan, China

Abstract

Fruit juices and vegetable and fruit juices are the products, which provide our bodies with a lot of valuable and nutritional ingredients and play a major role in prevention of numerous illnesses. Raspberries are the valuable source of bioactive compounds. As part of preserving food, whose main aim is to extend stability of products obtained only in season, the researchers took advantage of spray drying technique. In the research part of the study, research samples were prepared in the form of raspberry powders obtained from the process of dehumidified spray drying. Because of the research, a neural model was made, which supported the evaluation of the quality of detecting powder samples based on their color. The devised neural network reached classification accuracy at 0.924.

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Krzysztof Przybył, Jolanta Wawrzyniak, Katarzyna Samborska, Łukasz Gierz, Krzysztof Koszela, and Marek Szychta "Application of artificial neural networks in recognizing carrier based on the color of raspberry powders obtained in the spray-drying process", Proc. SPIE 12342, Fourteenth International Conference on Digital Image Processing (ICDIP 2022), 123420V (12 October 2022); https://doi.org/10.1117/12.2645926

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