Study On Soil Moisture Monitoring System And Forecasting Model Based On Internet Of Things

China's vast territory,large population,topography determines the survival of the natural situation is more complex.The region's limited agricultural production of raw materials,the uneven distribution of agricultural production resources,per capita possession of agricultural resources is not abundant and so on.The existence of various situations shows that agriculture is one of the main factors determining the rapid development of national economy.Corn is the main grain crop in China and the main crop in northeastern China.During the growth and development of crops,due to the low rainfall and lack of water resources,resulting in a lower soil water content,the growth of crops in a certain period of time the lack of water,affecting the growth of crops,it also produced people's lives A certain influence.A development direction of agriculture is to establish an accurate agricultural system in line with Chinese agriculture.In order to strengthen the understanding of drought dynamics in agricultural production and reduce the loss of drought,it is an important task to establish a soil moisture monitoring system in line with field operations.This paper studies the wireless monitoring system of soil moisture data in field operation.Soil moisture is one of the important conditions for seed emergence,growth and yield formation of crops,which generally refers to soil moisture conditions.Timely attention to farmland moisture and its changes can provide a scientific basis for the timely use of drought,irrigation or drainage in agriculture.In this paper,the soil moisture monitoring system of Daejeon field environment is preliminarily designed,and the field monitoring data are obtained in real time,and the results are analyzed and analyzed.The soil Water prediction model was studied,the main conclusions are as follows:1.the initial design of the experimental area of soil environment in the soil moisture monitoring system,clear the overall technical route,finishing the system hardware and software system research ideas,select the appropriate development environment and tools.The structure and function of each module,the principle of the whole system and the realization method are discussed in detail,and a relatively perfect soil moisture monitoring system is constructed.Which provides the data base for soil moisture and soil moisture prediction modeling,and thus makes a favorable bedding for the establishment of a drought management system.2.The soil moisture and soils in the field soil moisture were analyzed by using the theory of soil moisture and the actual monitoring data of real-time access,which provided the theoretical basis for the further study.3.Based on the surface temperature,underground temperature,meteorology,groundwater and soil moisture,the model of water volume prediction at different depths based on BP artificial neural network was established by using the experimental data of soil moisture content.The results show that the prediction model has little error forecast and the model is used to predict the soil moisture content at different depths of the crop root layer.The model parameters are few,easy to obtain,the form is relatively simple,easy to operate,more real-time.