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Paper ID:IJSREM61960

AgriPreserve: Intelligent Cold Storage System and Supply Optimization Platform for Agricultural Products

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM61960

Volume:

10 |

4 |

April 2026

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM61960

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

YT

Yash Thorat

Department of Computer Engineering

Samarth College Of Engineering And Management Pune,India

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SP

Sanket Pardhi

Department of Computer Engineering

Samarth College Of Engineering And Management Pune,India

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TK

Tanmay Kanase

Department of Computer Engineering

Samarth College Of Engineering And Management Pune,India

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Mentors

PPP

Prof. Pratiksha Pansare

Department of Computer Engineering

Samarth College Of Engineering And Management Pune,India

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Abstract

The integration of intelligent monitoring systems, Internet of Things (IoT), Artificial Intelligence (AI), and data-driven optimization technologies is transforming post-harvest management. AgriPreserve proposes an Intelligent Cold Storage System and Supply Optimization Platform designed to enhance preservation, reduce post-harvest losses, and improve distribution efficiency for agricultural produce. This review paper surveys recent advancements from 2019–2025 in IoT-enabled cold storage monitoring, AI-based shelf-life prediction, smart inventory management, and supply chain optimization platforms for perishable commodities.

KEYWORDS

Keywords— Intelligent Cold Storage Agricultural Produce Internet of Things (IoT) Predictive Analytics Temperature and Humidity Monitoring Energy-Efficient Storage Artificial Intelligence (AI) Real-Time Monitoring.

Cite This Article

Yash Thorat, Sanket Pardhi, Tanmay Kanase, Prof. Pratiksha Pansare, "AgriPreserve: Intelligent Cold Storage System and Supply Optimization Platform for Agricultural Products," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, pp. 1-5, April 2026. https://doi.org/10.55041/IJSREM61960

Full Article/Conclusion

The system successfully enables real-time monitoring of temperature, humidity, and spoilage gases, ensuring optimal storage conditions and reducing post-harvest losses. Automated control mechanisms further enhance system efficiency by minimizing manual intervention and maintaining environmental stability. The integration of cloud computing and mobile applications allows users to remotely monitor and control the storage system, improving accessibility and convenience. Additionally, the incorporation of AI-based predictive analysis supports better decision-making by estimating shelf life and identifying potential spoilage risks in advance. Overall, the system demonstrates reliability, scalability, and practical applicability in modern agricultural practices. It contributes to improved storage efficiency, reduced wastage, and increased profitability for farmers, making it a valuable solution for smart agriculture and cold chain management.

References

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Publication Date

4/30/2026

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