Open Journal of Soil Science
Vol.4 No.7(2014), Paper ID 47682, 11
pages
DOI:10.4236/ojss.2014.47024
Prediction of Soil Fractions (Sand, Silt and Clay) in Surface Layer Based on Natural Radionuclides Concentration in the Soil Using Adaptive Neuro Fuzzy Inference System
Saad Al-Hamed, Mohamed Wahby, Mohamed Al-Sulaiman, Abdulwahed Aboukarima
Department of Agricultural Engineering, College of Food and Agriculture Sciences, King Saud University, Riyadh, KSA
Department of Agricultural Engineering, College of Food and Agriculture Sciences, King Saud University, Riyadh, KSA
Community College, Huraimla, Shaqra University, Huraimla, KSA
Agricultural Engineering Research Institute, Agricultural Research Centre, Cairo, Egypt
Copyright © 2014 Saad Al-Hamed, Mohamed Wahby, Mohamed Al-Sulaiman, Abdulwahed Aboukarima 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
Al-Hamed, S. , Wahby, M. , Al-Sulaiman, M. and Aboukarima, A. (2014) Prediction of Soil Fractions (Sand, Silt and Clay) in Surface Layer Based on Natural Radionuclides Concentration in the Soil Using Adaptive Neuro Fuzzy Inference System.
Open Journal of Soil Science,
4, 215-225. doi:
10.4236/ojss.2014.47024.