According to esgnews.earth, a peer-reviewed study published in Scientific Reports introduces a four-layer digital architecture designed to secure and optimize the millet supply chain — reducing end-to-end execution latency by 29.5%, from 880 ms to 620 ms.
Architecture Overview
The Millet Supply Chain Management System (MSCMS) structures operations across four integrated technological tiers. Layer 1 deploys sensor and IoT devices to capture real-time data from farmers, processors, distributors, retailers, and end consumers. Layer 2 applies edge computing for local preprocessing and predictive analytics — cutting latency at the source. Layer 3 uses central cloud infrastructure for scalable data sharing and long-term storage across all network nodes. Layer 4 implements a permissioned Ethereum blockchain with smart contracts and QR codes to guarantee data immutability, security, and open traceability.
Performance Metrics
Stress testing revealed that scaling the edge layer from one to four nodes for 500 connected IoT devices improved system responsiveness significantly. The architecture achieved a peak transaction throughput of 165 transactions per second (TPS) while slashing required on-chain storage from 175 MB to 55 MB per 1,000 transactions. Consumer QR-code scanning delivered traceability responses in 560 ms — a 39.1% speed improvement over conventional blockchain setups.
Resilience Under Failure
During simulated failure conditions involving ten concurrent node failures, the four-layer architecture maintained 75% system availability. In contrast, standalone blockchain systems dropped to 30% availability, and traditional central cloud setups fell to just 5%. This demonstrates the architecture’s capacity to sustain operational continuity amid infrastructure disruption.
Author Insights
“The given architecture is devised to offer secure data handling, real-time analysis, and precise traceability at the supply chain network… The multi-layer integration ensures secure and verifiable data exchange, which allows stakeholders to track product quality, logistics, and conformity effectively,” said the authors in the report.
“The framework proposed not only instils trust among supply chain stakeholders but also promotes sustainability by allowing decision-making processes based on data and minimizing operational inefficiencies. The MSCMS illustrates how new digital technologies can reconfigure agri-food systems for a transparent, resilient, and intelligent millet value chain.”
Source: esgnews.earth
Compiled from international media by the SCI.AI editorial team.
