Suliman, A.S. and Post, D.F. (1988) Relationship between Soil Spectral Properties and Sand, Silt, and Clay Content of the Soils on the University of Arizona Maricopa Agricultural Centre. Proceedings of Hydrology and Water Resources in Arizona and the Southwest, 16 April 1988, Tucson, Arizona (Arizona-Nevada Academy of Science, Tucson Arizona), 18, 61-65.

has been cited by the following article:

• TITLE: 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

  AUTHORS: Saad Al-Hamed, Mohamed Wahby, Mohamed Al-Sulaiman, Abdulwahed Aboukarima

  KEYWORDS: Agriculture, ANFIS, Soil Texture, Natural Radionuclides

  JOURNAL NAME: Open Journal of Soil Science, Vol.4 No.7, July 10, 2014

  ABSTRACT: In this research, a gamma ray sensor (The Mole) was used to get the natural radionuclides concentration in situ in the surface layer of cultivated soils. For sand, silt and clay predictions, an adaptive neuro fuzzy inference system (ANFIS) was performed to predict such fractions (Sugeno model). The inputs to the system were Potassium (40K), Uranium (238U), Thorium (232Th) and Cesium (137Cs) concentrations. It is concluded that ANFIS structure is acceptable in the prediction of sand, silt and clay considering the studied inputs. Test results and predicted outcomes were compared and acceptable correlations were obtained.