Artificial neural network and time series models for predicting soil salt and water content
Authors:
- Ping ZouPZPing Zou
- Jingsong YangJYJingsong Yang
- Jianrong FuJFJianrong Fu
- Guangming LiuGLGuangming Liu
- Dongshun LiDLDongshun Li
- 1 November 2010
- journal article
- Published by Elsevier in Agricultural Water Management
- Vol. 97 (12) , 2009-2019
Abstract
No abstract availableKeywords
This publication has 24 references indexed in Scilit:
- Modelling water and salt transport in a soil–water–plant system under different groundwater tablesWater and Environment Journal, 2008
- Optimisation of pedotransfer functions using an artificial neural network ensemble methodGeoderma, 2008
- Forecasting Thailand’s rice export: Statistical techniques vs. artificial neural networksComputers & Industrial Engineering, 2007
- Soil water content forecasting by ANN and SVM hybrid architectureEnvironmental Monitoring and Assessment, 2007
- Apparent soil electrical conductivity measurements in agricultureComputers and Electronics in Agriculture, 2005
- Salt, Water, and Groundwater Management Models to Determine Sustainable Cropping Patterns in Shallow Saline Groundwater Regions of AustraliaJournal of Crop Production, 2003
- Application of artificial neural network and genetic algorithm in flow and transport simulationsAdvances in Water Resources, 1998
- Development and Evaluation of ENVIRO‐GRO, an Integrated Water, Salinity, and Nitrogen ModelSoil Science Society of America Journal, 1998
- Time Series Analysis of Field‐Measured Water Content of a Sandy SoilSoil Science Society of America Journal, 1997
- On a measure of lack of fit in time series modelsBiometrika, 1978