Estimating cation exchange capacity using soil textural data and soil organic matter content: A case study for the south of Iran
Author:
Publisher
Informa UK Limited
Subject
Soil Science,Agronomy and Crop Science
Link
http://www.tandfonline.com/doi/pdf/10.1080/03650340802158193
Reference16 articles.
1. Neural network models to predict cation exchange capacity in arid regions of Iran
2. Relationship between the Hydraulic Conductivity Function and the Particle-Size Distribution
3. A Physicoempirical Model to Predict the Soil Moisture Characteristic from Particle-Size Distribution and Bulk Density Data
4. Soil Pedotransfer Functions for Four Mexican Soils
5. Derivation of Land Qualities to Assess Environmental Problems from Soil Surveys
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