Selection of a suitable model for the prediction of soil water content in north of Iran
Multiple Linear Regression (MLR), Artificial Neural Network (ANN) and Rosetta model were employed to develop pedotransfers functions (PTFs) for soil moisture prediction using available soil properties for northern soils of Iran. The Rosetta model is based on ANN works in a hierarchical approach to p...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria
2015-03-01
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Series: | Spanish Journal of Agricultural Research |
Subjects: | |
Online Access: | http://revistas.inia.es/index.php/sjar/article/view/6111/2242 |