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...

Full description

Bibliographic Details

Published in:	Trends in food science & technology Vol. 163; p. 105176
Main Authors:	Guo, Mengshuai, Lv, Xin, Wang, Dan, Chen, Hong, Wei, Fang
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.09.2025
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!