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Title Bruschetta: An Iot Blockchain-Based Framework For Certifying Extra Virgin Olive Oil Supply Chain
ID_Doc 12924
Authors Arena A.; Bianchini A.; Perazzo P.; Vallati C.; Dini G.
Year 2019
Published Proceedings - 2019 IEEE International Conference on Smart Computing, SMARTCOMP 2019
DOI http://dx.doi.org/10.1109/SMARTCOMP.2019.00049
Abstract Urban population is expected to continuously grow in size. The smart city concepts allows to handle the new challenges and issues created by this growth by applying a wide range of technologies that can provide citizens with a better living environment. Smart agriculture will play an important part of smart cities, as a sustainable and high quality food supply chain is crucial to facilitate the grow of human agglomerates. In this context, European laws imposes very strict requirements in the food industry, in order to ensure that food provenance is always guaranteed. Such fine-grained traceability can be only achieved by applying state-of-the-art technologies. In this paper, we present BRUSCHETTA, a blockchain-based application for the traceability and the certification of the Extra Virgin Olive Oil (EVOO) supply chain. EVOO is an emblematic food product for Italy, but it is also one of the most falsified ones. BRUSCHETTA provides a blockchain-based system to enforce the certification of this product by tracing its entire supply chain: from the plantation to the shops. The goal is to enable the final customer to access a tamper-proof history of the product, including the farming, harvesting, production, packaging, conservation, and transportation processes. BRUSCHETTA leverages Internet of Things (IoT) technologies in order to interconnect sensors dedicated to EVOO quality control, and to let them operate on the blockchain. We also provide a support for the correct tailoring of the BRUSCHETTA blockchain system, and we propose a mechanism for its dynamic auto-tuning to optimize it in case of high loads. © 2019 IEEE.
Author Keywords Blockchain; Food supply chain monitoring; Hyperledger Fabric; Performance evaluation; Smart Agricolture; Smart Cities


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