Application of neural network pedotransfer functions to calculate soil water retention curve

Abstract

The results of soil hydrophysical parameters modeling by neural networks are considered. Modern computing facilities using pedotransfer functions provide simplicity, speed and cheapening of obtaining soil characteristics by mathematical calculations. The initial data are the basic properties of the soil, which are stably determined. The analysis of errors in the calculation of hydrophysical parameter was conducted. Obtained neural networks most accurately reproduce hydrophysical parameters.