基于水云模型的农田地表土壤水分监测研究  

Research on monitoring surface soil moisture in farmland based on water cloud model

作　　者：王晓菲 Wang Xiaofei(School of Information Engineering,Zhoukou Vocational and Technical College,Zhoukou 466000,China)

机构地区：[1]周口职业技术学院信息工程学院,河南周口466000

出　　处：《无线互联科技》2024年第10期37-39,共3页Wireless Internet Technology

基　　金：2022年度周口职业技术学院校级科研课题;项目名称:大数据和物联网技术在智慧农业领域监测探究;项目编号:2022KYKT09。

摘　　要：目前,农田地表土壤水分监测方法存在操作复杂、监测范围受限的问题。对此,文章提出了一种基于水云模型的农田地表土壤水分监测方法。首先,文章将土壤样本的投影值与土壤的含量分级表进行对照,判定土壤的基础属性;然后,通过离心法计算不同吸力下的土壤含水率,确定土壤体积含水量和土壤水势的关系;最后,根据土壤水分的空间分布特征的分析结果,采用水云模型对农田地表土壤中的水分状况进行监测。实验结果表明,实验组在4种深度下土壤水分含量的监测精度均高于95%,说明文章方法监测性能较好。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.

关 键 词：水云模型 农田地表 土壤水分监测 多数据协同 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]