Application of Convolutional Neural Networks and Recurrent Neural Networks in Food Safety

Application of Convolutional Neural Networks and Recurrent Neural Networks in Food Safety

This review explores the application of convolutional neural networks (CNNs) and recurrent neural networks (RNNs) in food safety detection and risk prediction. This paper highlights the advantages of CNNs in image processing and feature recognition, as well as the powerful capabilities of RNNs (espe...

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Bibliographic Details
Main Authors:	Haohan Ding, Haoke Hou, Long Wang, Xiaohui Cui, Wei Yu, David I. Wilson
Format:	Article
Language:	English
Published:	MDPI AG 2025-01-01
Series:	Foods
Subjects:	food safety deep learning convolutional neural networks recurrent neural networks long short-term memory
Online Access:	https://www.mdpi.com/2304-8158/14/2/247
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