Soil Moisture Measurement Based on Monte Carlo Method

被引:0
作者
Zhao lingli [1 ]
机构
[1] Beifang Univ Nationalities, Elect Engn Inst, Yinchuan 750021, Ningxia, Peoples R China
来源
PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019) | 2019年
关键词
Soil moisture content; Image gray level; Monte Carlo method;
D O I
10.1109/ccdc.2019.8832820
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Soil image samples were collected and calculated image gray level, the probability distribution of soil image gray level was analyzed. A mathematical model was constructed with the average gray-value of soil image as input and soil moisture as output. Measurement of soil moisture was calculated based on Monte Carlo method. Comparison of measured values and actual values of soil water content, the results show that: 1) Using Monte Carlo method measure soil water content that reduces the analysis of complex nonlinear model, reduces the calculation of some additional first-order or high-order sensitivity coefficients, and reduces the amount of calculation. 2) The accuracy of measurement value depends on Monte Carlo simulation times, and the more number of Monte Carlo simulations, the more accuracy of the soil moisture content measurement values, which makes the very small error between the measurement values and the actual values of soil moisture content.
引用
收藏
页码:5852 / 5855
页数:4
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