An SNN Ontology Based Environment Monitoring Method for Intelligent Irrigation System |
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Authors: | Shuoming Li Lei Chen Shihong Chen |
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Institution: | 1.National Engineering Research Center for Multimedia Software,Wuhan,China;2.School of Computer Science,Wuhan University,Wuhan,China |
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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. |
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