The application of convolutional neural networks, LF-NMR, and texture for microparticle analysis in assessing the quality of fruit powders: Case study – blackcurrant powders

The application of convolutional neural networks, LF-NMR, and texture for microparticle analysis in assessing the quality of fruit powders: Case study – blackcurrant powders

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Bibliographic Details
Main Authors: Przybył Krzysztof, Samborska Katarzyna, Jedlińska Aleksandra, Koszela Krzysztof, Baranowska Hanna Maria, Masewicz Łukasz, Kowalczewski Przemysław Łukasz
Format: Article
Language:English
Published: De Gruyter 2025-08-01
Series:Reviews on Advanced Materials Science
Subjects:
convolutional neural networks
low-field nuclear magnetic resonance
texture analysis
scanning electron microscopy
fruit powders
blackcurrant
Online Access:https://doi.org/10.1515/rams-2025-0132
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https://doi.org/10.1515/rams-2025-0132

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