Quality enhanced framework through integration of blockchain with supply chain management

• Published in: Measurement. Sensors 2022-12, Vol.24, p.100462, Article 100462
• Main Authors: Ramkumar, Gowtham, Kasat, Kishori, Khader P, Raseem Abdul, Muhammed P K, Nawal, Raghu, Tanna, Chhabra, Sonia
• Format: Article
• Language: English
• Subjects: Agri-food supply chains; Blockchains technology; Digital data; IoT
• ISSN: 2665-9174; 2665-9174
• DOI: 10.1016/j.measen.2022.100462

Recently, there has been significant growth in the consumption of the most widely diversified Internet of Things (IoT) technological knowledge, and devices, which has resulted in an impact on not only electrical items and the agricultural and food industries (Agri-Food) supply chain networks. This has sparked intense curiosity about the development of information sharing that is reliable, traceable, and transparent, and also increased significant research and advancement efforts. Existing IoT-based trace & authenticity methods for agri-food distribution networks are constructed on top of centralized architectures, which creates the potential for significant issues such as data security, manipulation, and standard points of weakness. A creative and scraping methodological approach to implementing decentralized trust-free networks is represented by blockchain technologies, the decentralized blockchain technologies that underpin cryptocurrencies. The fault tolerance, data integrity, visibility, and complete tracing of saved transactional data, along with cohesive digital information of property resources and independent transactions implementations, are in fact features built into this digitalization. This study introduces Agri-BlockIoT, a completely decentralized blockchain-based traceable platform for managing a global agro-food distribution network that can seamlessly connect IoT systems that produce and consume digital information all along the distribution chain. We implemented a use caseto achieve transparency and traceability. Lastly, we analyzed and contrasted the implementations' capability in terms of delay, CPU, or network utilization.