应用于农资产品溯源服务系统的物联网技术分析
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家科技支撑计划(2012BAH20B00)


Technical Analysis of the Internet of Things Applied to Traceability System for Agricultural Products
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 增强出版
  • |
  • 文章评论
    摘要:

    针对目前农资市场的不规范问题导致的假劣农资损害农民利益的现象, 建立一套农资产品溯源服务系统对于促进农业生产和增加农民收入具有重要的现实意义. 农资溯源涉及到生产、物流、仓储、批发和零售等多个环节. 如何协调整合各个环节的信息流是实现农资溯源服务的必要条件. 近年物联网技术受到社会各界的广泛关注, 在行业信息化、城市安防等都有实际应用.对实际应用于农资产品溯源服务系统的物联网技术进行了探讨. 通过对物联网相关技术及网络体系架构的分析, 展示了物联网技术便于农资溯源服务系统的各个环节间进行信息交换, 可实现对农资产品的溯源防伪. 最后以应 用实例说明物联网技术在农资领域具有广阔的应用前景.

    Abstract:

    Because the market of Agricultural Products is not standardized, counterfeit agricultural products continuously appear, the establishment of traceability system for agricultural products has high significance to promote agricultural production and increase farmers' income. The traceability of agricultural products involves some aspects of the production, logistics, storage, wholesale and retail. How to coordinate each link is necessary condition to realize the traceability for agricultural products. In recent years, extensive attention has been paid to the Internet of Things which has practical application in industry informatization and urban safety defense. In this paper, the Internet of Things technology applied to the traceability system for agricultural products is discussed. Through the analysis of technology and network architecture of the Internet of Things, it shows the Internet of Things technology that facilitates information exchange among the links of the traceability system for agricultural products, and implements the traceability service for agricultural products. Finally, the application examples are given to show the application prospect of the Internet of Things in agricultural products field.

    参考文献
    相似文献
    引证文献
引用本文

黄庆,崔超远,乌云.应用于农资产品溯源服务系统的物联网技术分析.计算机系统应用,2013,22(1):44-47

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2012-06-21
  • 最后修改日期:2012-07-31
  • 录用日期:
  • 在线发布日期:
  • 出版日期:
您是第位访问者
版权所有:中国科学院软件研究所 京ICP备05046678号-3
地址:北京海淀区中关村南四街4号 中科院软件园区 7号楼305房间,邮政编码:100190
电话:010-62661041 传真: Email:csa (a) iscas.ac.cn
技术支持:北京勤云科技发展有限公司

京公网安备 11040202500063号