Building an Intelligent Food Safety Inspection System Based on the Internet of Things


Guizhen Shi, Na Li, Journal of Information Processing Systems Vol. 20, No. 5, pp. 654-662, Oct. 2024  

https://doi.org/10.3745/JIPS.03.0202
Keywords: Food safety, Internet of Things, Neural Networks, Safety Testing
Fulltext:

Abstract

In order to make it more convenient and fast for people to obtain the production information of dairy food and consume dairy food with confidence, a dairy food safety testing system based on the Internet of Things (IoT) is proposed in the study. Firstly, an ISM-AHP-RBF neural network-based risk assessment method for dairy products is proposed, and then the design of an IoT-based dairy milk production method is proposed using the information transmission and data collection functions of the IoT. The performance of the model is validated by comparing it with traditional neural network models. The results show that the ISM-AHP-RBF neural network can quickly iterate to a stable state and converge better than the other two traditional models; the results of risk prediction and assessment of milk components using the model are close to the real values and can accurately predict the riskier components, thus ensuring the food safety of dairy products.


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Cite this article
[APA Style]
Shi, G. & Li, N. (2024). Building an Intelligent Food Safety Inspection System Based on the Internet of Things. Journal of Information Processing Systems, 20(5), 654-662. DOI: 10.3745/JIPS.03.0202.

[IEEE Style]
G. Shi and N. Li, "Building an Intelligent Food Safety Inspection System Based on the Internet of Things," Journal of Information Processing Systems, vol. 20, no. 5, pp. 654-662, 2024. DOI: 10.3745/JIPS.03.0202.

[ACM Style]
Guizhen Shi and Na Li. 2024. Building an Intelligent Food Safety Inspection System Based on the Internet of Things. Journal of Information Processing Systems, 20, 5, (2024), 654-662. DOI: 10.3745/JIPS.03.0202.