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


[ 1 ] Instytut Konstrukcji Maszyn, Wydział Inżynierii Mechanicznej, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.9] Mechanical engineering

Year of publication


Chapter type

chapter in monograph / paper

Publication language


  • suszenie rozpyłowe
  • malina
  • analiza neuronowa
  • ocena jakości proszków

EN 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

Pages (from - to)

342 - 348





Fourteenth International Conference on Digital Image Processing (ICDIP 2022)

Presented on

14th International Conference on Digital Image Processing, ICDIP 2022, 20-23.05.2022, Wuhan, China

Ministry points / chapter


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