AI Enabled Food Batch Tracking and Expiry Alert Management System
DOI:
https://doi.org/10.15662/IJEETR.2026.0802050Keywords:
Food Safety, AI, IoT, Expiry Prediction, Supply Chain, Batch TrackingAbstract
Food safety and waste reduction are critical challenges in modern supply chain systems. This paper presents an AI-enabled Food Batch Tracking and Expiry Alert Management System designed to monitor food batches in real time and provide intelligent expiry alerts. The system integrates IoT sensors, barcode/QR-based tracking, and machine learning algorithms to predict shelf life and detect potential spoilage risks. A centralized backend manages batch-level data, while AI models analyze environmental conditions such as temperature and humidity. Experimental results show improved accuracy in expiry prediction and reduction in food wastage. The system is scalable, cost-effective, and suitable for industries such as retail, logistics, and food processing
References
1. Gurav, N. N., Lakkannavar, A. B., Bhavi, S., Sheikh, A., & Patil, A. (2025).“AI-Powered Smart Food Expiry and Waste Reduction System.”
2. Shehzad, K. (2025).“Predictive AI Models for Food Spoilage and Shelf-Life Estimation.”
3. Kollia, I., Stevenson, J., & Kollias, S. (2021).“AI-Enabled Efficient and Safe Food Supply Chain Management System.”
4. Sharma, A., & Aulakh, R. (2020).“Smart Agriculture Using IoT and AI: Tools and Challenges.”
5. Das, S., & Kumar, V. (2020).“Role of AI and Data Analytics in Enhancing Precision Systems.”
6. Bala, A., & Garg, M. (2021).“Impact of Artificial Intelligence in Smart Monitoring Systems.”
7. C.Nagarajan and M.Madheswaran - ‘Stability Analysis of Series Parallel Resonant Converter with Fuzzy Logic Controller Using State Space Techniques’- Taylor &Francis, Electric Power Components and Systems, Vol.39 (8), pp.780-793, May 2011. DOI: 10.1080/15325008.2010.541746
8. C.Nagarajan and M.Madheswaran - ‘Experimental verification and stability state space analysis of CLL-T Series Parallel Resonant Converter’ - Journal of Electrical Engineering, Vol.63 (6), pp.365-372, Dec.2012. DOI: 10.2478/v10187-012-0054-2
9. C.Nagarajan and M.Madheswaran - ‘Performance Analysis of LCL-T Resonant Converter with Fuzzy/PID Using State Space Analysis’- Springer, Electrical Engineering, Vol.93 (3), pp.167-178, September 2011. DOI 10.1007/s00202-011-0203-9
10. S.Tamilselvi, R.Prakash, C.Nagarajan,“Solar System Integrated Smart Grid Utilizing Hybrid Coot-Genetic Algorithm Optimized ANN Controller” Iranian Journal Of Science And Technology-Transactions Of Electrical Engineering, DOI10.1007/s40998-025-00917-z,2025
11. S.Tamilselvi, R.Prakash, C.Nagarajan,“ Adaptive sliding mode control of multilevel grid-connected inverters using reinforcement learning for enhanced LVRT performance” Electric Power Systems Research 253 (2026) 112428, doi.org/10.1016/j.epsr.2025.112428
12. S.Thirunavukkarasu, C. Nagarajan, 2024, “Performance Investigation on OCF and SCF study in BLDC machine using FTANN Controller," Journal of Electrical Engineering And Technology, Volume 20, pages 2675–2688, (2025), doi.org/10.1007/s42835-024-02126-w
13. C. Nagarajan, M.Madheswaran and D.Ramasubramanian- ‘Development of DSP based Robust Control Method for General Resonant Converter Topologies using Transfer Function Model’- Acta Electrotechnica et Informatica Journal , Vol.13 (2), pp.18-31,April-June.2013, DOI: 10.2478/aeei-2013-0025.
14. C.Nagarajan and M.Madheswaran - ‘DSP Based Fuzzy Controller for Series Parallel Resonant converter’- Springer, Frontiers of Electrical and Electronic Engineering, Vol. 7(4), pp. 438-446, Dec.12. DOI 10.1007/s11460-012-0212-0.
15. C.Nagarajan and M.Madheswaran - ‘Experimental Study and steady state stability analysis of CLL-T Series Parallel Resonant Converter with Fuzzy controller using State Space Analysis’- Iranian Journal of Electrical & Electronic Engineering, Vol.8 (3), pp.259-267, September 2012.
16. C.Nagarajan and M.Madheswaran, “Analysis and Simulation of LCL Series Resonant Full Bridge Converter Using PWM Technique with Load Independent Operation” has been presented in ICTES’08, a IEEE / IET International Conference organized by M.G.R.University, Chennai.Vol.no.1, pp.190-195, Dec.2007
17. Suganthi Mullainathan, Ramesh Natarajan, “An SPSS and CNN modelling based quality assessment using ceramic materials and membrane filtration techniques”, Revista Materia (Rio J.) Vol. 30, 2025, DOI: https://doi.org/10.1590/1517-7076-RMAT-2024-0721
18. M Suganthi, N Ramesh, “Treatment of water using natural zeolite as membrane filter”, Journal of Environmental Protection and Ecology, Volume 23, Issue 2, pp: 520-530,2022
19. Patel, D., & Verma, R. (2019).“Machine Learning Applications in Inventory and Resource Management.”
20. Gupta, S., & Kumar, N. (2021).“AI-Based Solutions for Food Safety and Supply Chain Optimization.”
