Wu JSie M.-FHarding S.ALin C.-LWang S.-TSHIH-WEI LIAO2022-04-252022-04-252021https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118954670&doi=10.1109%2fBRAINS52497.2021.9569817&partnerID=40&md5=32ceaac5050f1ed729142734f561a6c9https://scholars.lib.ntu.edu.tw/handle/123456789/607460We design a Multi-Layer Aggregate Verification (MLAV) solution to improve supply chain management with IoT Blockchain devices. We apply MLAV to IoT Blockchain applications in Agriculture 4.0 to demonstrate the feasibility of our solutions and models. In the current Agriculture 4.0 structure, large companies have successfully applied blockchain solutions and ecosystems for tracking and tracing agricultural produce, achieving transparency, traceability, and digitalization. However, these existing blockchain solutions are not comprehensive. First, the upstream nodes they serve are all large-scale production suppliers, and smallholders are not taken into consideration. In order to solve this problem, we use a multi-layer architecture that serves three purposes: facilitating smallholders in joining the agricultural blockchain as equal-opportunity nodes, uploading of production activity data, and reducing costs (ex. Ethereum gas fee). Second, the majority of IoT blockchains adopt an ID-based signature scheme in IoT devices, which frequently has lower efficiency. In applying aggregate verification, we may effectively increase ID-based verification efficiency while processing large clusters of data transferred by IoT devices. Finally, we design a blockchain management framework using smart contracts to facilitate the financing of upstream producers. ? 2021 IEEE.Aggregate VerificationAgriculture 4.0BlockchainID-based SignatureIoTSupply Chain ManagementAggregatesAgricultural robotsAgricultureEfficiencyInternet of things'currentAggregate verificationBlock-chainID based signatureLarge companiesLarge scale productionsMulti-layer architecturesMulti-layersTracking and tracingSupply chain management[SDGs]SDG2conference paper10.1109/BRAINS52497.2021.95698172-s2.0-85118954670