Food Adulteration Detection using Artificial Intelligence: A Systematic Review

Food Adulteration is a deceptive act of misleading food buyers for economic gain. It has been a major concern due to its risk to public health, reduction of food quality or nutritional value. It is a food fraud that has incensed the food industry and has attracted the attention of the community sinc...

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Veröffentlicht in:	Archives of computational methods in engineering 2022, Vol.29 (1), p.397-426
Hauptverfasser:	Goyal, Kashish, Kumar, Parteek, Verma, Karun
Format:	Artikel
Sprache:	eng
Schlagworte:	Adulterants Artificial intelligence Deep learning Engineering Food Food processing Food quality Fraud Machine learning Mathematical and Computational Engineering Public health Review Article
Online-Zugang:	Volltext
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