Abstract: In situation of large-scale crop cultivation in Dahewan Area of Hulun Buir, traditional method of pest and disease collection and identification based on manual experience or a single sensor will lead to low collection efficiency and limited identification range．To solve above problems, a series of improvements were proposed for overall system．Firstly, a complete "sky-air-ground-human" integrated pest and disease data collection system was proposed in data collection stage．In addition, in data identification stage, an intelligent crop pest and disease identification system was proposed according to different types of pests and diseases corresponding to varying organs of crops．Finally, in data decision and execution stage, intelligent OODA（observation-orientation-decision-action）linkage of agricultural equipment in the Dahewan was used to respond to abnormal plots in a timely manner．Experiment proved that the proposed intelligent pest and disease identification and decision-making system could operate efficiently in practical applications, and lay an excellent foundation for developing intelligent agriculture．