With the wide use of modern information technology in the field of agriculture, a massive amount of agricultural data can now be collected and analyzed to promote the development of agricultural modernization. This paper considers the existing research of the whole industry chain of production and management of the special agricultural products of the Dabie Mountain region. Systematical analysis was conducted to determine the characteristics of the data of various industry value chains, such as the production, processing, and marketing of agricultural products in this region. Moreover, the data resources of agricultural production and management were effectively integrated. Subsequently, the design pattern of a big data platform architecture, which includes four layers, an infrastructure layer, a data resource layer, a data processing and analysis layer, and a data display layer, was adopted. The data resource database was built for the whole industry chain of Dabie Mountain agricultural products. This database was based on the Hadoop big data framework and a big data platform for the smart services of a cloud server farm. Specifically, the platform’s functions were developed for the business tasks required by the relevant agricultural employees in the industrial area. The data in the developed database were successively processed by data cleaning, data mining, and data modeling to explore the regular dynamic changes in agricultural product production and management. Smart service functions such as information sharing, smart early warnings, and auxiliary decision-making were realized. In particular, the information sharing function offers data resource sharing services for each subsystem of the big data platform; the smart early warning function provides early warning services for production environment, price, and other key indices of agricultural products during the production and operation of the overall agricultural product industry value chain; the auxiliary decision-making function notifies agricultural practitioners of changes in the production and operation of agricultural products within the industry’s region and provides services such as auxiliary business decision-making services. The research and development of the cloud-based smart service big-data management center and data visualization system will be a useful reference for promoting the development of information and intelligence of the whole industry chain of special agricultural products in the Dabie Mountain region.