How to solve it: modern heuristics
How to solve it: modern heuristics
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Relating apparent electrical conductivity to soil properties across the north-central USA
Computers and Electronics in Agriculture
Characterizing soil spatial variability with apparent soil electrical conductivity
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture
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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.