The current era of big data and data industrialization is fueling trends in digital agricultural and rural industry, which together open the way to solving problems of poor timeliness and narrow coverage of traditional agricultural and rural information. An effort designed to address these needs, to support scientific decision-making by government departments and to meet data demands of scientific research departments, is the project “One Center, Four System” known as Agri-watch. In line with the goal of "big platform, big system, big integration, big data," Agri-watch is China's quick-access platform for agricultural and rural information, integrating technologies for constructing big data environments, mobile Internet, data processing analysis, and traceability. Agri-watch is based on mobile terminals and internet technology, giving full play to the advantages of the new media, with a view to forming a new model of agricultural and rural information collection, creating an agricultural and rural data access platform with information collection, data management, decision analysis, and visual display all available at any time, with instant information transmission and real-time data display. The architecture of the platform includes three loosely-coupled layers: a core data layer, a business support layer and a business application layer, three-layer architecture has low coupling characteristics. In the Internet environment, the Browser/Server(B/S) structure is used for development. Based on the separated design of front-end, the basic framework that front and back system is built respectively implements user management, questionnaire management, indicator management, data insight analysis, report management and other functions, and faces the development needs of the agricultural industry and the improvement of rural people's livelihoods. The platform would deploy service and business application systems, forming a data application system that supports multiple data queries and analyses, multi-dimensional visualization displays, and data processing and information access. By constructing agricultural benchmark data, mining implicit information, and exploring data release mechanisms, Agri-watch would support data management and realize “speaking with data”, “managing with data”, “making decisions with data.”