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 monito...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.展开更多
Intelligent irrigation system can realize the precision irrigation, is the effective way for agricultural sustainable development in arid area. This paper adopts CC2430, according to the actual demand of irrigation ma...Intelligent irrigation system can realize the precision irrigation, is the effective way for agricultural sustainable development in arid area. This paper adopts CC2430, according to the actual demand of irrigation management and decision of making plant, design and implemen intelligent irrigation system. The system can solve the difficulties of distribution for soil temperature and humidity monitoring and too high prices for key hardware products, difficult to generalize the technology problem. The system cost is reduced by 44.8% compared with the same kind of products abroad. Compared with the traditional irrigation, use efficiency of crop water increased by 22.6%.展开更多
基金the National Natural Science Foundation of China(No.61100133)the Science Guidance Project of Education Department of Hubei Province(No.B20101104)
文摘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.
文摘Intelligent irrigation system can realize the precision irrigation, is the effective way for agricultural sustainable development in arid area. This paper adopts CC2430, according to the actual demand of irrigation management and decision of making plant, design and implemen intelligent irrigation system. The system can solve the difficulties of distribution for soil temperature and humidity monitoring and too high prices for key hardware products, difficult to generalize the technology problem. The system cost is reduced by 44.8% compared with the same kind of products abroad. Compared with the traditional irrigation, use efficiency of crop water increased by 22.6%.
