Estimation of the soil water retention curve using penetration resistance curve models
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Summary
Pedotransfer functions (PTFs) were developed for estimating the gravimetric water content based on the model of Dexter et al. (2008) using feed-forward artificial neural networks and the parameters in model of Mielke et al (1994) as water content predictors obtained more accurate PTFs and improved the water content estimates.
- Type
- article
- Published
- 2017-11-01
- Cited by
- 14
- References
- 105
- OpenAlex
- https://openalex.org/W2770688024
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:3285156
Keywords
Pedotransfer function, Water retention curve, Water content, Soil water, Soil science
References
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- Evaluation of Pedo-Transfer Functions
- Correction of cone index for soil water content differences in a coastal plain soil
- Soil survey interpretations from water retention data. I: Development and validation of a water retention model
- Rain-induced slope instability in Hong Kong
- Relationships between conventional field information and some soil properties measured in the laboratory
- PENETR — a generalized semi-empirical model estimating soil resistance to penetration
- The effect of salt precipitation and high sodium concentrations on soil hydraulic conductivity and water retention
- A SIMPLE METHOD FOR DETERMINING UNSATURATED CONDUCTIVITY FROM MOISTURE RETENTION DATA
- An empirical model to predict soil bulk density profiles in field conditions using penetration resistance, moisture content and soil depth
- Factors Influencing Soil Structural Stability within a Growing Season
Cited by
- Parameter Estimation for Soil Water Retention Curve Using the Salp Swarm Algorithm
- Using Machine Learning for Prediction of Saturated Hydraulic Conductivity and Its Sensitivity to Soil Structural Perturbations
- Comparison of three models fitting the soil water retention curves in a degraded alpine meadow region
- Effect of free swelling index on improving estimation of the soil moisture retention curve by different methods
- Design and test of automatic detection platform for soil fragmentation rate in rotary tillage
- Influence of corn residue biochar on water retention and penetration resistance in a calcareous sandy loam soil
- Estimating Soil Penetration Resistance of Paddy Soils in the Plastic State Using Physical Properties
- Relating Hydraulic Conductivity Curve to Soil-Water Retention Curve Using a Fractal Model
- Water retention in Cambisols under land uses in semiarid region of the Brazil
- Assessment of soil water retention characteristics based on VNIR/SWIR hyperspectral imaging of soil surface
- Using Models and Artificial Neural Networks to Predict Soil Compaction Based on Textural Properties of Soils under Agriculture
- Comparison of two different artificial neural network models for prediction of soil penetration resistance
- Predicting soil water retention curves using machine learning: A study of model architecture and input variables
- Artificial neural networks for the prediction of the soil-water characteristic curve: An overview
- Comparison of two different artificial neural network models for prediction of soil penetration resistance
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