References
- Adhikari P, Shukla MK, Mexal JG. 2011. Spatial variability of electrical conductivity of desert soil irrigated with treated wastewater: implications for irrigation management. Appl Environ Soil. 2011:1–11.
- Al-Busaidi AS, Cookson P. 2003. Salinity-pH relationships in calcareous soils. Agric Mar Sci. 8:41–46.
- Amini M, Abbaspour KC, Khademi H, Fathianpour N, Afyuni M, Schulin R. 2005. Neural network models to predict cation exchange capacity in arid regions of Iran. Eur J Soil Sci. 56:551–559. doi:10.1111/j.1365-2389.2005.0698.x
- Araghinejad S. 2013. Data-driven modelling: using MATLAB in water resources and environmental engineering (water science and technology library). Dordrecht: Springer Science & Business Media.
- Auerswald K, Simon S, Stanjek H. 2001. Influence of soil properties on electrical conductivity under humid water regimes. Soil Sci. 166:382–390.
- Banaei MH, Moameni A, Bybordi M, Malakouti MJ. 2005. The soil of Iran: new achievements in perception, management and use. Tehran: SANA Publishing. Persian.
- Choi J-H, Adams TM, Bahia HU. 2004. Pavement roughness modeling using back-propagation neural networks. Comput Aided Civil Infrast Eng. 19:295–303.
- Farahmand A, Oustan SH, Jafarzadeh AJ, Asgharzad A. 2012. Salinity and sodicity parameters in some salt-affected soils of the Tabriz plain. Water Soil Sci (Agric Sci). 22:1–15.
- Farifteh J, Farshad A, George RJ. 2006. Assessing salt-affected soils using remote sensing, solute modelling, and geophysics. Geoderma. 130:191–206.
- Fidêncio PH, Poppi RJ, De Andrade JC. 2002. Determination of organic matter in soils using radial basis function networks and near infrared spectroscopy. Anal Chim Acta. 453:125–134.
- Gee GW, Bauder JW. 1986. Particle-size analysis. In: Klute A, editor. Methods of soil analysis. Part I. Agron. Monogr. 9. Madison (WI): American Society of Agronomy, Soil Science Society of America; p. 383–411.
- Haghverdi A, Mohammadi K, Mohseni Movahed SA, Ghahreman B, Afshar M. 2011. Estimation of soil salinity profile in Tabriz irrigation and drainage network using SaltMod and ANN models. J Water Soil. 25:174–186. Persian.
- Haykin S. 1994. Neural networks: A comprehensive foundation. New York (NY): Macmillan.
- Heristev RM. 1998. The ANN book. Boston (MA): GNU Public License.
- Horneck DS, Ellsworth JW, Hopkins BG, Sullivan DM, Stevens RG. 2007. Managing salt-affected soils for crop production. PNW 601-E. Pullman, WA: Pacific Northwest Extension.
- Inst SAS. 2000. SAS 9.1.3. Help and documentation. Cary (NC): SAS Institute Inc.
- Kashi H, Ghorbani H, Emamgholizadeh S, Hashemi SAA. 2013. The estimation of soil cation exchange capacity in disturbed and undisturbed soils using artificial neural networks and multiple regressions. J Water Soil. 27:472–484. Persian.
- Mclean EO. 1982. Soil pH and lime requirement. In: Al P, Rh M, Dr K, editors. Methods of soil analysis. Part 2, chemical and microbiological properties. Agronomy Monograph. 9. Madison (WI): American Society of Agronomy, Soil Science Society of America; p. 199–224.
- Mehrabi Gohari E, Sarmadian F, Taghizadeh Mehrjerdi R. 2013. Prediction of amount of water at field capacity and permanent wilting point using artificial neural network and multiple regression. Iran J Irr Water Eng. 3:42–52.
- Moasheri SA, Shams Goshki A, Parsaie A. 2013. SAR qualities parameter persistence by a compound method of geostatic and artificial neural network (case study of Jiroft plain). Int J Agric Crop Sci. 6:157–166.
- Munshower FF. 1994. Practical handbook of disturbed land revegetation. Boca Raton (FL): Lewis Publisher.
- Pachepsky YA, Timlin D, Varallyay G. 1996. Artificial neural networks to estimate soil water retention from easily measurable data. Soil Sci Soc Am J. 60:727–733.
- Page MC, Sparks DL, Noll M, Hendricks GJ. 1987. Kinetics and mechanisms of potassium release from sandy middle Atlantic Coastal plain soils. Soil Sci Soc Am J. 51:1460–1465.
- Pessarakli M. 1991. Dry matter yield, nitrogen-15 absorption, and water uptake by green bean under sodium chloride stress. J Crop Sci. 31:1633–1640.
- Piri H, Bameri A. 2014. Estimation of sodium adsorption ratio (SAR) in groundwater using multivariate linear regression artificial neural networks (case study Bajestan plains). J Water Resour Eng. 21:67–80. Persian.
- Rashidi M, Seilsepour M. 2008. Modelling of soil cation exchange capacity based on some soil physical and chemical properties. ARPN J Agric Biol Sci. 3:6–13.
- Rashidi M, Seilsepour M. 2011. Effect of different application rates of Boron on yield. Middle-East J Sci Res. 7:758–762.
- Rhoades JD. 1982. Soluble salts. In: Al P, Rh M, Dr K, editors. Methods of soil analysis. Part 2, chemical and microbiological properties. Agronomy Monograph. 9. Madison (WI): American Society of Agronomy, Soil Science Society of America; p. 167–178.
- Rhoades JD, Kandiah A, Mashali AM 1992. The use of saline waters for crop production. FAO Irrigation and Drainage Paper No 48. Food and Agriculture Organisation of the United Nations; Rome, Italy.
- Robbins CW. 1993. Coefficients for estimating SAR from soil pH and EC data and calculating pH from SAR and EC values in salinity models. Arid Soil Res Rehab. 7:29–38.
- Robbins CW, Meyer WS. 1990. Calculating pH from EC and SAR values in salinity models and SAR from soil and bore water pH and EC data. Aust J Soil Res. 28:1001–1011.
- Sajikumara N, Thandaveswara BS. 1999. A non-linear rainfall–runoff model using an artificial neural network. J Hydrol. 216:32–55.
- Schaap MG, Leij FJ, Van Genuchten M. 1998. Neural network analysis for hierarchical prediction of soil hydraulic properties. Soil Sci Soc Am J. 62:847–855.
- Seelig B. 2000. Salinity and sodicity in North Dakota soils. Fargo (ND): North Dakota State University, NDSU Extension Service EB 57.
- Seilsepour M, Rashidi M. 2008a. Modelling of soil sodium adsorption ratio based on soil electrical conductivity. ARPN J Agric Biol Sci. 3:27–31.
- Seilsepour M, Rashidi M. 2008b. Prediction of soil cation exchange capacity based on some soil physical and chemical properties. World Appl Sci. 3:200–205.
- Seilsepour M, Rashidi M. 2008c. Modelling of soil cation exchange capacity based on soil colloidal matrix. Am-Euras J Agric Environ Sci. 3:365–369.
- Sobhkhizi M, Akbari A, Shotorban A, Shokoee M. 2006. Understanding the ecological zones of the country, vegetation type in Zabol. Tehran: Research Institute of Forests and Rangelands. Persian.
- Staff SL. 1954. Diagnosis and improvement of saline and alkali soils. No. 60. Washington (DC): USDA.
- Venkatesan P, Anitha S. 2006. Application of a radical basis function neural network for diagnosis of diabetes mellitus. Curr Sci. 91:1195–1199.
- Yilmaz I, Kaynar O. 2011. Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils. Expert Syst Appl. 38:5958–5966.