An Intelligent Machine Learning Architecture for Real-Time Food  Degradation Analytics in Cold Storage Environments

P. Shailaja, S. Sandhya Rani

An Intelligent Machine Learning Architecture for Real-Time Food Degradation Analytics in Cold Storage Environments

Authors

P. Shailaja, S. Sandhya Rani

Keywords:

Internet of Things (IoT), Machine Learning, Food Spoilage Detection, Real-Time Monitoring, Predictive Analytics, Food Safety.

Abstract

Food spoilage presents a critical challenge to the global food industry, causing substantial economiclosses and heightened food safety risks. Traditional detection techniques, such as manual inspection and time-temperature indicators, are often reactive, labour-intensive, and incapable of continuous

References

H. Yousefi, H.-M. Su, S. M. Imani, K.M. C. D. Alkhaldi, and T. F. Didar, “Intelligent food packaging: a review of smart sensing technologies for monitoring food quality,” ACS Sensors, vol. 4, no. 4, pp. 808–821, 2019.

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Published

2024-08-20

How to Cite

P. Shailaja, S. Sandhya Rani. (2024). An Intelligent Machine Learning Architecture for Real-Time Food Degradation Analytics in Cold Storage Environments . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 8960–8969. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5578