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Calculation of soil electrical conductivity using a genetic algorithm

机译:用遗传算法计算土壤电导率

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The aim of this paper is to present an optimization methodology based on a genetic algorithm to obtain the soil electrical conductivity and its respective thicknesses. The method uses an experimental conductivity curve generated from the measurements made in the soil. This experimental curve is compared with a theoretical electrical conductivity curve produced by a genetic algorithm. The theoretical curve is based on Sunde's algorithm and is exactly the inverse process of soil horizontal stratification into multi layers. The comparison between the two curves provides the error produced by the soil stratification process. Using the obtained values of electrical conductivity, the method intends to estimate characteristics such as water content, texture and salinity of the subsoil layers.
机译:本文的目的是提出一种基于遗传算法的优化方法,以获得土壤电导率及其各自的厚度。该方法使用从土壤中测得的实验电导率曲线。将该实验曲线与通过遗传算法产生的理论电导率曲线进行比较。理论曲线基于Sunde算法,恰好是土壤水平分层成多层的逆过程。两条曲线之间的比较提供了土壤分层过程产生的误差。使用所获得的电导率值,该方法旨在估计特征,例如地下土壤的含水量,质地和盐度。

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