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An Agricultural Habitat Information Acquisition and Remote Intelligent Decision System Based on the Internet of Things

  • Ze Lin Hu
  • Yi GaoEmail author
  • Miao Li
  • Hua Long Li
  • Xuan Jiang Yang
  • Zhi Run Ma
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 546)

Abstract

On the basis of the information perception technology and mobile interconnection technology, through the technology of Agriculture Internet of Things, the multi-sensor system integration is realized, and the collaborative sensing of habitat information come true in crop production. This paper designs architecture of hardware and software for the system. By wireless multi-hop and seamless connection technologies of “triple net integration”, common interfaces and scanning technologies of multi-sensor standard signal transform are used to achieve the multi-parameter information acquisition of crop during its growth. Wireless monitoring nodes of the Agriculture Internet of Things are distributed in each measurement point of the farmland, and they are responsible for information collection, pretreatment, and wireless transmission of eight parameters data, including the environment temperature, environment temperature, Light intensity, Carbon dioxide content, soil temperature, soil humidity, soil pH, soil salt. The data processing and service system execute remote data storage and on-line information release. The intelligent decision support system achieve real-time warning of abnormal parameters. Experiments show that the architecture of the system is reasonable, and the system has good accuracy, stability and reliability, in line with the practical application of grassroots agricultural field.

Keywords

The Internet of Things Intelligent decision Agriculture habitat information Information acquisition ZigBee ARM 

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Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  • Ze Lin Hu
    • 1
  • Yi Gao
    • 2
    Email author
  • Miao Li
    • 1
  • Hua Long Li
    • 1
  • Xuan Jiang Yang
    • 1
  • Zhi Run Ma
    • 1
  1. 1.Institute of Intelligent Machines, Chinese Academy of SciencesHefeiChina
  2. 2.Yunnan Minority Language Working CommitteeKunmingChina

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