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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Vydané v:	Trends in food science & technology Ročník 163; s. 105176
Hlavní autori:	Guo, Mengshuai, Lv, Xin, Wang, Dan, Chen, Hong, Wei, Fang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.09.2025
Predmet:	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
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