基于蒙特卡洛方法的土壤含水量检测技术研究

Research on Soil Moisture Measurement Based on Monte Carlo Method

提出基于蒙特卡洛方法和数字图像处理结合的土壤含水量检测技术,摄像头采集土壤图像,对采集的土壤图像进行处理、提取土壤图像灰度平均值,建立土壤图像灰度与土壤含水量关系的数学模型,应用蒙特卡洛方法计算土壤含水量。试验结果表明,用蒙特卡洛方法测量土壤含水量,减少了复杂非线性测量模型的分析,减少计算一些附加的一阶或高阶灵敏度系数,当使用足够多的蒙特卡洛试验次数,可获得土壤含水量的最佳估计值,使得土壤含水量检测值与真实值之间的误差很小,为土壤含水量的检测提供技术参考。

In this paper, a soil moisture content measurement technique based on Monte Carlo method and the digital image processing technology is proposed. The camera gathers soil picture, the picture is digital processed and the soil image characteristic parameter of average gray -values is extracted, then the mathematical model for the relation between soil moisture content measurement value and soil image gray-values is established. The experiment and simulation results indicate that using Monte Carlo method can reduce the nonlinear measurement model analysis and the calculation of some additional first-order or higher-order sensitivity coefficient. When enough Monte Carlo experiments are used, the best estimate of soil moisture content measurement value can be obtained, which makes the error between the soil moisture content measurement value and the real soil moisture content value very small. The study provides technical reference for the soil moisture content measurement.