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Calibrating pedotransfer functions to estimate soil hydro limits using limited data

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Title Calibrating pedotransfer functions to estimate soil hydro limits using limited data
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Creator Patil N. G., Rajput G. S., Nema R. K., and Singh R. B.
 
Subject pedotransfer functions, soil hydro limits,
 
Description Not Available
The water retained in the soil is detennined by factors such as soil texture, structure, organic matter content, clay content and its type. However, laboratory or in-situ detennination of water retention curve or hydrolimits is an exhaustive process with time, manpower and capital requirement. Researchers, therefore, prefer indirect estimation of soil moisture retention using pedotransfer functions (PTF). PTFs can be defined as predictive functions of certain soil properties from other easily, routinely, or cheaply-measured properties (Minasny and McBratney 2002). Regression tools are often used for establishing such relationships. Regression analysis requires prior knowledge of relationship or at least expected relationship and assumptions to be made regarding probability distribution of the errors. Statistical tests are made on the basis of these assumptions. New methods like artificial neural networks (ANN) do not require prior knowledge or assumptions about error distribution. AnANN is configured for a specific application such as pattern recognition or data classification, through a learning process. It then mimics the relationship between related variables learnt from historical data.
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Date 2020-06-30T15:56:53Z
2020-06-30T15:56:53Z
2008-03-31
 
Type Research Paper
 
Identifier Patil N. G., Rajput G. S., Nema R. K., and Singh R. B. (2008). Calibrating Pedotransfer Functions to Estimate Soil Hydrolimits from Physical Properties. Agropedology. 18(1):66-70.
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http://krishi.icar.gov.in/jspui/handle/123456789/37771
 
Language English
 
Relation Not Available;
 
Publisher Indian Society of Soil Survey and land Use Planning