Abstract
Spatial data is collected and managed by different organizations in a variety of data formats to meet their coherent requirements. Spatial data sets and information are extremely important for making sound decisions regarding implementation of action plans, infrastructure development, natural resources management, disaster management support, land use assessments and agriculture. The spatial data from heterogeneous sources can be integrated with the domain knowledge of Agriculture and an efficient agro-advisory system can become reality. Spatial information play an important role in agriculture sector and make huge impact on crop yield. The information regarding advisory and best cultivation practices can be disseminated by using mobile devices. An efficient decision support system can be developed using the service oriented architecture, ontologies and spatial data integration. In this chapter, we focus on state of the art practices for data integration and motivation for using ontologies based techniques for data reasoning, inference and spatial data integration. Further, we discuss system development process to build web services, Geo web services for effective information dissemination.
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Acknowledgements
This work was a part of research project on “Service-Oriented Architecture for Spatial Data Integration and Spatial Reasoning”, funded by The NRDMS and NSDI, Department of Science and Technology, Govt. of India.
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Chaudhary, S., Kumar, V. (2018). Service Oriented Architecture and Spatial Data Integration for Agro Advisory Systems. In: Sarda, N., Acharya, P., Sen, S. (eds) Geospatial Infrastructure, Applications and Technologies: India Case Studies. Springer, Singapore. https://doi.org/10.1007/978-981-13-2330-0_15
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