The early warning technology of crop diseases and insect pests is a strong guarantee to respond to the increasingly dire situation of major pests and diseases and ensure national food security. At present, the method of the monitoring data collection about the information of diseases and insect pests mainly relies on a field visit carried out by the plant protection staff, sampling and analysis, which directly impacts on the accuracy of early warning analysis. Firstly, the research status of the early warning analysis technology of crop diseases and insect pests in the field of agricultural are investigated and studied thoroughly and deeply, and then the comparison and analysis of the mainstream technology for pest and disease warning and algorithms are done in detail. The final combination of the technology of the Internet of things, a better pest early warning solution of the facility agriculture is put forward in order to provide a useful reference for the study of the early warning of crop pests.