In order to solve the shortcomings of the existing intelligent agricultural system and promote the rapid development of agricultural modernization, the project is based on the existing intelligent agricultural system. With the help of sensors, controllers, smart cameras, smart cameras and other Internet of Things equipment, the project collects various growth indicators of crops themselves and their growth environment, and comprehensively monitors the meteorological, soil and other environmental change trends, crop growth, and the operation status of agricultural facilities at the agricultural production site. The software system developed by the supporting project team analyzes the collected information and compares it with the preset data to obtain the current growth status of crops. The real-time transmission and real-time sharing of agricultural production information are realized. In addition, the system can also analyze the data in a certain period of time, predict and control the future growth status and possible pests and diseases, and realize the scientific and refined planting of crops. After the implementation of the project, it will effectively solve a series of problems such as the shortage of human resources in the process of large-scale planting and the low yield caused by the untimely monitoring of crop growth. While reducing human input, it has realized the increase of crop income, greatly reduced the planting cost of farmers, improved the economic, social and ecological benefits of facility agriculture, and has good development prospects.