Assessing Rainfall Erosivity with Artificial Neural Networks for the Ribeira Valley, Brazil
Soil loss is one of the main causes of pauperization and alteration of agricultural soil properties. Various empirical models (e.g., USLE) are used to predict soil losses from climate variables which in general have to be derived from spatial interpolation of point measurements. Alter...
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| Main Authors: | Reginald B. Silva, Piero Iori, Cecilia Armesto, Hugo N. Bendini |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2010-01-01
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| Series: | International Journal of Agronomy |
| Online Access: | http://dx.doi.org/10.1155/2010/365249 |
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