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An SNN Ontology Based Environment Monitoring Method for Intelligent Irrigation System

  • Shuoming Li (李硕明)
  • Lei Chen (陈磊)
  • Shihong Chen (陈世鸿)
Article
  • 8 Downloads

Abstract

In order to realize high precision of environment parameters detection in irrigation applications, a sensor and sensor network (SSN) ontology based data fusion method is proposed. An SSN sub-ontology for soilstate monitoring is revised, which includes the sensing devices hierarchies and measurement properties selection according to the detection feature interests. As for sensor data processing, a tuning data method by data pool filtering and clustering is adopted, as well as a useful data fusion method for multi-sensor system. The testing results show that both the accuracy and efficiency of the proposed method are higher after related filtering and clustering process, which enables a thorough monitoring for intelligent irrigation systems and can be extended into environment monitoring and control applications.

Key words

sensor and sensor network (SSN) data fusion intelligent irrigation environment monitoring 

CLC number

TP 391 

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Copyright information

© Shanghai Jiaotong University and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Shuoming Li (李硕明)
    • 1
    • 2
  • Lei Chen (陈磊)
    • 1
  • Shihong Chen (陈世鸿)
    • 1
    • 2
  1. 1.National Engineering Research Center for Multimedia SoftwareWuhanChina
  2. 2.School of Computer ScienceWuhan UniversityWuhanChina

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