A huge amount of complex and diverse data is generated from various sources and consumed
by stakeholders in agricultural practices. The agricultural big data is heterogeneously
distributed, exposed by disparate sources, by different methods, and in different formats. The
challenges related to big data management are different in developed countries and
developing countries. The research scope is formulated by evaluating the challenges and
opportunities related to big data management in agriculture for developing countries.
Implementation of data repositories can be a transformative solution not only in terms of data
management but also in terms of the business process. The report proposes an architecture for
developing a big data repository for the agriculture domain. The architecture was built and
implemented using two levels of data abstraction. As a proof of concept, data are depicted
using the web-based REST interface/dashboard.