Affiliation:
1. Department of ECE, Coimbatore Institute ofTechnology, Coimbatore, India
Abstract
Agricultural Food Supply chain management has arisen as an area of day-to-day importance for the agricultural food sector, since stakeholders involved in the execution of decision-making processes. Quality less agricultural products are added to the market in day-to-day life which leads to usage of chemicals in the production process. These leads to the major issues that gives the impact on agricultural product’s quality as well as overall well-being of the consumers. Devices are needed to identify the quality of the food products which are highly demanded due to the lack of transparency in the recent processes. Henceforth Blockchain technology is evolving as a decentralized and secure infrastructure which could replace involvement of a third party to verify the transactions inside the system. The purpose of the proposed work is to implement a Blockchain based solution i.e. constructing a Decentralized Application (DApp) using Hyperledger Fabric framework to verify the food quality and the cause of the agricultural supply chain. A private permissioned Blockchain concept is chosen instead of a public Blockchain in the proposed work to ensure transparency and secure transaction by consenting any person to access the network. Smart contract chain code was instantiated for the deployment of Blockchain network. All the performers who are involved in the supply chain must be able to interact with the system to achieve the transparency. Transaction and queries related to a food product are validated by peers of the Blockchain network. A Barcode & QR code-based scanning mechanism is used to indicate the customer’s satisfaction with their products. Transactions without third party gives Farmer’s reputation for their products. A unique DApp mechanism is used to identify each product within the food supply chain. Thus, the proposed system has been implemented as a prototype and validated using smart contracts.
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Cited by
8 articles.
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