Direct measurements of soil hydraulic properties are time-consuming, challenging, and often expensive. Therefore, their indirect estimation via pedotransfer functions (PTFs) based on easily collected properties like soil texture, bulk density, and organic matter content is desirable.
This study was carried out to assess the accuracy of the pseudo-continuous neural network PTF (PCNN-PTF) approach for estimating the soil water retention curve(SWRC) and soil hydraulic conductivity curve (SHCC) of soils measured via the evaporation method. A database of international soils was used for the training of ANN, and an independent data set from Turkey was used to evaluate the reliability of the developed models.
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