Research Progress on Methods for Improving the Stability of Non-Destructive Testing of Agricultural Product Quality

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Détails bibliographiques
Publié dans:	Foods vol. 13, no. 23 (2024), p. 3917
Auteur principal:	Xu, Sai
Autres auteurs:	Wang, Hanting, Liang, Xin, Lu, Huazhong
Publié:	MDPI AG
Sujets:	Test equipment Volatile organic compounds > VOCs Deep learning Agricultural production Nondestructive testing Vision systems Agricultural technology Spectrum analysis Agriculture Data analysis Instrumentation Efficiency Pattern recognition Food industry Agricultural products Quality assessment Spectral analysis Agricultural commodities Product quality Machine vision Technology assessment Bionics Computer vision Quality control Neural networks Sensors Biodegradation Information processing Chemical bonds Industrial development Algorithms Environmental factors Light Infrared radiation Systems stability
Accès en ligne:	Citation/Abstract Full Text + Graphics Full Text - PDF
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