Research on monitoring surface soil moisture in farmland based on water cloud model
At present,there are problems with complex operation and limited monitoring range in the monitoring methods of farmland surface soil moisture.Therefore,this paper proposes a monitoring method of farmland surface soil moisture based on water cloud model.Firstly,by comparing the projected values of soil samples with the soil content classification table,the basic soil properties are distinguished.Then,the soil moisture content under different suction forces is calculated using the centrifugal method to determine the relationship between soil volumetric moisture content and soil water potential.Finally,based on the analysis of the spatial distribution characteristics of soil moisture,a water cloud model is used to monitor the water status in the surface soil of farmland.The experimental results show that the monitoring accuracy of soil moisture content in the experimental group is higher than 95%at all four depths,indicating that the monitoring performance of the method proposed in this paper is good.
water cloud modelfarmland surfacesoil moisture monitoringmulti-data collaboration