Fisheye freshness detection using common deep learning algorithms and machine learning methods with a developed mobile application

Fish is commonly ingested as a source of protein and essential nutrients for humans. To fully benefit from the proteins and substances in fish it is crucial to ensure its freshness. If fish is stored for an extended period, its freshness deteriorates. Determining the freshness of fish can be done by...

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Veröffentlicht in:	European food research & technology Jg. 250; H. 7; S. 1919 - 1932
Hauptverfasser:	Yildiz, Muslume Beyza, Yasin, Elham Tahsin, Koklu, Murat
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2024 Springer Nature B.V
Schlagworte:	Agriculture Algorithms Analytical Chemistry Applications programs Artificial intelligence Artificial neural networks Biotechnology Chemistry Chemistry and Materials Science Classification data collection Deep learning Essential nutrients eyes Fish Food Science Forestry Freshness Gills Learning algorithms Machine learning Mobile computing Neural networks Nutrients Original Paper Protein sources Proteins smell Deep learning Feature extraction Fish freshness Classification Machine learning Fisheye
ISSN:	1438-2377, 1438-2385
Online-Zugang:	Volltext
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