Research on agricultural product quality traceability system based on blockchain technology

IF 0.2 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Web Intelligence Pub Date : 2023-01-11 DOI:10.3233/web-220088

Fang Zheng, Siyuan Huang, Xiong Zhou, Shujun Ta, Xujuan Zhou, K. C. Chan, R. Gururajan

引用次数: 1

Abstract

From the planting base to the consumer’s table, agricultural products must go through multiple links such as planting, processing, transportation, warehousing, and sales. The quality and safety of agricultural products have received extensive attention from all walks of life. Based on the block chain technology, this paper will build a traceability system for the quality and safety of agricultural products, refine the research objects, and design solutions from the aspects of overall structure, role authority, operating process, and functional modules according to the characteristics of planted agricultural products, so as to realize the whole process of agricultural product supply chain tracking, traceability to ensure the quality and safety of agricultural products.

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基于区块链技术的农产品质量追溯系统研究

农产品从种植基地到消费者的餐桌，要经过种植、加工、运输、仓储、销售等多个环节。农产品质量安全问题受到社会各界的广泛关注。本文将基于区块链技术，构建农产品质量安全可追溯体系，根据种植农产品的特点，细化研究对象，从整体结构、角色权限、操作流程、功能模块等方面设计解决方案，实现农产品供应链的全过程跟踪。可追溯性，确保农产品质量安全。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Web Intelligence COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

0.90

自引率

0.00%

发文量

期刊介绍： Web Intelligence (WI) is an official journal of the Web Intelligence Consortium (WIC), an international organization dedicated to promoting collaborative scientific research and industrial development in the era of Web intelligence. WI seeks to collaborate with major societies and international conferences in the field. WI is a peer-reviewed journal, which publishes four issues a year, in both online and print form. WI aims to achieve a multi-disciplinary balance between research advances in theories and methods usually associated with Collective Intelligence, Data Science, Human-Centric Computing, Knowledge Management, and Network Science. It is committed to publishing research that both deepen the understanding of computational, logical, cognitive, physical, and social foundations of the future Web, and enable the development and application of technologies based on Web intelligence. The journal features high-quality, original research papers (including state-of-the-art reviews), brief papers, and letters in all theoretical and technology areas that make up the field of WI. The papers should clearly focus on some of the following areas of interest: a. Collective Intelligence[...] b. Data Science[...] c. Human-Centric Computing[...] d. Knowledge Management[...] e. Network Science[...]