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Original Article

Implementation of Food Freshness Detection Using IOT With Machine Learning Integration of GSM Notification

N. Nandhini1 M. Krithika2 K. Dhevanandhini3 R. Prithika4
1 Assistant Professor, Department of Information Technology, PSV College of Engineering and Technology, Krishnagiri, Tamil Nadu, India. 2 3 4 UG Scholars, Department of Information Technology, PSV College of Engineering and Technology, Krishnagiri, Tamil Nadu, India.

Published Online: January-April 2026

Pages: 438-442

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References

1. S. Kumar and R. Singh, “Smart food freshness detection using IoT sensors,” International Journal of Engineering Research and Technology,
vol. 10, no. 6, pp. 102–106, 2021.
2. A. Sharma, P. Verma, and K. Gupta, “Machine learning approach for food quality monitoring,” International Journal of Innovative
Technology and Exploring Engineering, vol. 11, no. 3, pp. 45–50, 2022.
3. M. Reddy and S. Kumar, “IoT-based food monitoring system using sensor data analysis,” International Journal of Advanced Research in
Computer Science and Engineering, vol. 12, no. 5, pp. 210–215, 2023.
4. V. Patel and N. Shah, “Real-time food spoilage detection using sensors and machine learning,” IEEE Access, vol. 12, pp. 45678–45685,
2024.
5. R. Mehta and S. Nair, “Development of smart food safety monitoring system using embedded technology,” International Journal of
Electronics and Communication Engineering, vol. 14, no. 2, pp. 89–95, 2025.

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