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International Journal of Agronomy
Volume 2010 (2010), Article ID 365249, 7 pages
http://dx.doi.org/10.1155/2010/365249
Research Article

Assessing Rainfall Erosivity with Artificial Neural Networks for the Ribeira Valley, Brazil

1Campus Experimental de Registro, UNESP-Universidade Estadual Paulista, 11900-000 Registro, SP, Brazil
2Department of Soil Science, UFLA, Caixa Postal 3037, 37200-000 Lavras, MG, Brazil
3Department of Phytopathology, UFLA, Caixa Postal 3037, 37200-000 Lavras, MG, Brazil

Received 17 March 2010; Revised 22 June 2010; Accepted 14 July 2010

Academic Editor: Bernd Lennartz

Copyright © 2010 Reginald B. Silva et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Reginald B. Silva, Piero Iori, Cecilia Armesto, and Hugo N. Bendini, “Assessing Rainfall Erosivity with Artificial Neural Networks for the Ribeira Valley, Brazil,” International Journal of Agronomy, vol. 2010, Article ID 365249, 7 pages, 2010. doi:10.1155/2010/365249