Highly adaptable method of collecting risk factors data for agricultural production

Agricultural production is greatly affected by factors such as climate, soil and light. The same crops in different regions and the different crops in the same area ask for different natural conditions. Even if the same crop in the same area, at its different stages of growth, the degree of external influence are not all the same. At the same time, there are many risk factors affect crops growth, and crop production monitoring can only select some main parameters for collection. This paper presents a high-adaptive method of collecting risk factors data for agricultural production. The method establish the data model of the main risk factor by crop type, and according to the crop planted area to establish the model of crop growth, and set up the disaster model of crop growth, which can be used on the early warning and alarm of disasters.