Abstract: Big data management information system for tobacco production can provide crucial foundation in the processes of intelligent tobacco agriculture and smart tobacco management. In this study, a big data management information system was designed and used in the Nanping tobacco planting area by using the geographic information system (GIS). The system was built under a scheme of C/S mode containing 5 layers of basic device layer, technical support layer, data support layer, implementation layer and user layer. Multi-source and multi-format big data generated in the process of tobacco production were managed, stored and analyzed with one unified data standard. The system achieved a standardized and integrated flow (including data storing, management and analysis) of big data derived from the process of tobacco production, and thereby can provide accurate decision support and basic platform to modern tobacco agriculture of the Nanping tobacco planting area. In particular, the system provided a nutrient management model to optimize the process of tobacco production. The simulation of the model was good with a deviation of 15.64 kg/ha between the predicted and the actual yield in 2016. Based on the scheme and datasets mentioned above, the system integrated GIS basic functions, spatial data management, data process and analysis functions, and consequently achieved a foundation platform for further service extension of internet + agriculture and modern tobacco agriculture specifically.