KrishiMantra: agricultural recommendation system

With the evolution of Web 2.0, ICT has become the primary need of human beings. There is a gap between the farmers and the knowledge of agricultural experts. ICT can fill the gap between farmers and the experts. In this paper, we have proposed a semantic web based architecture to generate agricultural recommendations, using spatial data and agricultural knowledge bases. Our knowledge base acts as a domain expert and will send recommendations to the farmers based on climate conditions and geographic data. We have shown experimental results as a part of implementation of our proposed architecture. A farmer sends a query to the query engine, in order to get information for a specific crop. Query may be related to GIS data, crop knowledge base or both. The result of the query is displayed on a mobile device.