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ARS Home » Research » Publications at this Location » Publication #171391
Title: A NEAREST NEIGHBOR TECHNIQUE TO ESTIMATE SOIL WATER RETENTION

Author
item NEMES, ATTILA - VISITING SCIENTIST
item Rawls, Walter
item Pachepsky, Yakov

Submitted to: Agronomy Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 11/2/2004
Publication Date: 11/2/2004
Citation: Nemes, A. Rawls, W.J., Pachepsky, Y.A. 2004. A nearest neighbor technique to estimate soil water retention [abstract]. Agronomy Abstracts.

Interpretive Summary:

Technical Abstract: Estimation of soil hydraulic properties by predictive equations (mostly termed as pedotransfer functions or PTFs) provides an alternative to the costly ' and thus often impractical ' direct measurements. Different techniques can be found in literature to estimate soil water retention and hydraulic conductivity. In this study we introduce a similarity based 'k-Nearest Neighbor' technique to estimate soil water content at -33 and -1500 kPa matric potentials from texture, bulk density and organic matter content. Model performance is tested against Neural Network models that were developed from the same data sets.