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.
LI Shuoming (李硕明), CHEN Lei (陈磊), CHEN Shihong (陈世鸿)
. An SNN Ontology Based Environment Monitoring Method for Intelligent Irrigation System[J]. Journal of Shanghai Jiaotong University(Science), 2018
, 23(4)
: 577
.
DOI: 10.1007/s12204-018-1959-0
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