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Articles | Volume XXXIX-B4
https://doi.org/10.5194/isprsarchives-XXXIX-B4-467-2012
https://doi.org/10.5194/isprsarchives-XXXIX-B4-467-2012
01 Aug 2012
 | 01 Aug 2012

SERVICE ORIENTED ARCHITECTURE FOR WIRELESS SENSOR NETWORKS IN AGRICULTURE

S. A. Sawant, J. Adinarayana, S. S. Durbha, A. K. Tripathy, and D. Sudharsan

Keywords: Syntactic standardization, Interoperability, Wireless Sensor Network, Sensor Web Enablement, Agriculture

Abstract. Rapid advances in Wireless Sensor Network (WSN) for agricultural applications has provided a platform for better decision making for crop planning and management, particularly in precision agriculture aspects. Due to the ever-increasing spread of WSNs there is a need for standards, i.e. a set of specifications and encodings to bring multiple sensor networks on common platform. Distributed sensor systems when brought together can facilitate better decision making in agricultural domain. The Open Geospatial Consortium (OGC) through Sensor Web Enablement (SWE) provides guidelines for semantic and syntactic standardization of sensor networks. In this work two distributed sensing systems (Agrisens and FieldServer) were selected to implement OGC SWE standards through a Service Oriented Architecture (SOA) approach. Online interoperable data processing was developed through SWE components such as Sensor Model Language (SensorML) and Sensor Observation Service (SOS). An integrated web client was developed to visualize the sensor observations and measurements that enables the retrieval of crop water resources availability and requirements in a systematic manner for both the sensing devices. Further, the client has also the ability to operate in an interoperable manner with any other OGC standardized WSN systems. The study of WSN systems has shown that there is need to augment the operations / processing capabilities of SOS in order to understand about collected sensor data and implement the modelling services. Also, the very low cost availability of WSN systems in future, it is possible to implement the OGC standardized SWE framework for agricultural applications with open source software tools.