Abstract: Agricultural data have the characteristics of large capacity, strong affinity, complex, etc. Big data technology can mine valuable information and knowledge from large data sets. Promoting the practice and application of big data technology in agriculture is significant to grasp the internal relations and rules of agricultural information. This paper first described the basic concepts of big data, as well as the concept and feature of agricultural big data. Then, the SMART application architecture of agricultural big data was designed from five key areas, including service, management, application, technology and resource. Among them, the key technologies to build the system, focus resources and main application areas were analyzed. Finally, based on the above basises, a platform for intelligent analysis of agricultural big data was built, and the overall platform architecture, functional design and technology were discussed in detail.