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| | Software from ACPA |
 | | It is expected that prediction of soil water retention and unsaturated hydraulic conductivity data from basic soil properties can be improved if hydraulic data are determined using a single measurement method that is consistently applied to all soil samples. |
 | | Using neural network analysis, soil water retention and hydraulic conductivity characteristics are predicted from basic soil properties, i.e., sand, silt, and clay content, bulk density, saturated water content, and saturated hydraulic conductivity. |
 | | Unsaturated hydraulic conductivity predictions improved significantly when the performance-based algorithm was used, minimizing residuals of soil hydraulic data rather than hydraulic parameters. |
| www.usyd.edu.au /su/agric/acpa/software/multistep.htm (255 words) |
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