KrishiSense: A semantically aware web enabled wireless sensor network system for precision agriculture applications

With advances in sensing systems attempts are continuously being made to design Internet of Things (IoT) based interoperable sensing systems. The important issues (water, pest/disease, nutrient management, etc.) pertaining to crop-weather-soil continuum can be addressed through high resolution monitoring of agro-meteorological parameters. Presently the designed sensing systems have syntactic and semantic heterogeneity and face underlying limitations for achieving interoperability among these distributed sensing systems. In this study an attempt has been made to develop KrishiSense. A semantically aware web enabled wireless sensing system for precision agriculture applications. Through integration of Open Geospatial Consortium (OGC) specified Sensor Web Enablement (SWE) standards on sensing system has enabled the interoperability between different standardized sensing systems. KrishiSense acts as interconnection between multiple users (researchers/scientists, farmers and extension community) through multiple protocols and distributed web connected platforms, thus facilitating human participatory sensing.