International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Internet of Everything (IoE)– Based Intelligent Monitoring System for Data Tracking and Governance of Legume Storage Bins

Author(s) Dr. Sheryl Radley, Mr. Pinkey Roshan, Prasanna M U, Yugesh A K
Country India
Abstract Post-harvest losses of agricultural produce, particularly legumes, pose a serious challenge to global food security and economic sustainability. In India and other developing nations, storage inefficiencies account for nearly 10–20% loss of legumes due to improper environmental control, pest infestation, and delayed spoilage detection. Traditional storage systems rely on periodic manual inspection, which is reactive, labor-intensive, and prone to human error. This paper proposes an Internet of Everything (IoE)-based intelligent monitoring and governance system for legume storage bins that integrates multi-parameter sensing, edge intelligence, cloud-based analytic, and real-time decision support. The system continuously monitors temperature, humidity, and moisture parameters, enabling early anomaly detection and proactive storage management. Edge-based analytic reduce latency and ensure uninterrupted operation during network failures, while cloud integration supports long-term data storage, visualization, and traceability. A pilot-scale deployment demonstrates the feasibility of achieving Technology Readiness Level (TRL) 3, Experimental Proof-of-Concept . Experimental results indicate a significant reduction in spoilage incidents, improved shelf life, and enhanced operational efficiency. The proposed framework aligns with AICTE Research Promotion Scheme (RPS) objectives and contributes to sustainable, technology-driven post-harvest management.
Keywords Internet of Everything, Smart Agriculture, Post-Harvest Loss Reduction, Legume Storage, Edge Computing, Sensor Fusion.
Field Computer > Data / Information
Published In Volume 8, Issue 1, January-February 2026
Published On 2026-01-25
DOI https://doi.org/10.36948/ijfmr.2026.v08i01.67364
Short DOI https://doi.org/hbmdr9
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