Neural Image Analysis and Electron Microscopy to Detect and Describe Selected Quality Factors of Fruit and Vegetable Spray-Dried Powders—Case Study: Chokeberry Powder

Neural Image Analysis and Electron Microscopy to Detect and Describe Selected Quality Factors of Fruit and Vegetable Spray-Dried Powders—Case Study: Chokeberry Powder

The study concentrates on researching possibilities of using computer image analysis and neural modeling in order to assess selected quality discriminants of spray-dried chokeberry powder. The aim of the paper is the quality identification of chokeberry powders on account of their highest dying powe...

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Bibliographic Details
Main Authors: Krzysztof Przybył, Jolanta Gawałek, Krzysztof Koszela, Jacek Przybył, Magdalena Rudzińska, Łukasz Gierz, Ewa Domian
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Sensors
Subjects:
artificial neural network (ann)
classification
image analysis
chokeberry powder
colors
spray-drying
Online Access:https://www.mdpi.com/1424-8220/19/20/4413

Internet

https://www.mdpi.com/1424-8220/19/20/4413

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