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International Journal of Agronomy
Volume 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.

Citations to this Article [8 citations]

The following is the list of published articles that have cited the current article.

  • Piero Iori, Reginaldo Barboza da Silva, Moacir de Souza Dias Júnior, and José Maria de Lima, “Pressão de preconsolidação como ferramenta de análise da sustentabilidade estrutural de classes de solos com diferentes usos,” Revista Brasileira de Ciência do Solo, vol. 36, no. 5, pp. 1448–1456, 2012. View at Publisher · View at Google Scholar
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  • Roberto A. Cecilio, Michel C. Moreira, Jose Eduardo M. Pezzopane, Fernando F. Pruski, and Danilo C. Fukunaga, “Assessing rainfall erosivity indices through synthetic precipitation series and artificial neural networks,” Anais Da Academia Brasileira de Ciencias, vol. 85, no. 4, pp. 1523–1535, 2013. View at Publisher · View at Google Scholar
  • Paulo Tarso Sanches Oliveira, Edson Wendland, and Mark A. Nearing, “Rainfall erosivity in Brazil: A review,” Catena, vol. 100, pp. 139–147, 2013. View at Publisher · View at Google Scholar
  • Ricardo Silva, Jorge Sa Silva, and Fernando Boavida, “Mobility in wireless sensor networks - Survey and proposal,” Computer Communications, vol. 52, pp. 1–20, 2014. View at Publisher · View at Google Scholar
  • Ana Luíza Ferreira Trindade, Paulo Tarso Sanches de Oliveira, Jamil Alexandre Ayach Anache, and Edson Wendland, “Variabilidade espacial da erosividade das chuvas no Brasil,” Pesquisa Agropecuária Brasileira, vol. 51, no. 12, pp. 1918–1928, 2016. View at Publisher · View at Google Scholar
  • Maryam Marashi, Ali Mohammadi Torkashvand, Abbas Ahmadi, and Mehrdad Esfandyari, “Adaptive neuro-fuzzy inference system: Estimation of soil aggregates stability,” Acta Ecologica Sinica, 2018. View at Publisher · View at Google Scholar
  • Md. Rabiul Islam, Wan Zurina Wan Jaafar, Lai Sai Hin, Normaniza Osman, Anamul Hossain, and Nuruol Syuhadaa Mohd, “Development of an intelligent system based on ANFIS model for predicting soil erosion,” Environmental Earth Sciences, vol. 77, no. 5, 2018. View at Publisher · View at Google Scholar