Innovative integration of computer vision, IoT, and digital twin in food quality and safety assessment

Ensuring food quality and safety is a key priority for public health and economic stability. Traditional methods of food quality assessment, while effective, are often labor-intensive, destructive or lack traceability and transparency. Recent advances in deep learning and computer vision introduce d...

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Veröffentlicht in:	Trends in food science & technology Jg. 163; S. 105176
Hauptverfasser:	Guo, Mengshuai, Lv, Xin, Wang, Dan, Chen, Hong, Wei, Fang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2025
Schlagworte:	Computer vision Deep learning Digital twin Food quality and safety IoT Deep learning Computer vision Digital twin Food quality and safety IoT
ISSN:	0924-2244
Online-Zugang:	Volltext
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