Big Data Analytics Architecture for Agro Advisory System

Modern trends in the agriculture domain have made people realize the importance of big data. The key challenge of big data in agriculture is to identify the effectiveness of big data analytics. Moreover, how big data analytics can be used to improve the productivity in agricultural practices. The purpose of the proposed research is to reduce the technological gap between rural communities and information through recommendations and decision support system. The main contribution of this paper is to propose an open source, cost-effective and scalable big data analytics architecture for an Agro advisory system. As a part of implementation, an analytic framework for big data application development is built and implemented. Also, a prototype application for crop yield prediction is implemented for cotton crop in Ahmedabad district, Gujarat, India.