A soil moisture content map is important for providing information about the distribution of moisture in a given area. Moisture content directly influences agricultural yield thus it is crucial to have accurate and reliable information about moisture distribution and content in the field. Since soil is a porous medium modified generalized Archie’s equation provides the basic formula to calculate moisture content data based on measured ECa. In this study we aimed to find a more accurate and cost effective method for measuring moisture content than manual field sampling. Locations of 25 sampling points were chosen from our research field as a reference. We assumed that soil moisture content could be calculated by measuring apparent electrical conductivity (ECa) using the Veris-3100 on-the-go soil mapping tool. Statistical analysis was carried out on the 10.791 ECa raw data in order to filter the outliers. The applied statistical method was ±1.5 interquartile (IRQ) distance approach. The visualization of soil moisture distribution within the experimental field was carried out by means of ArcGIS/ArcMAP using the inverse distance weighting interpolation method. In the investigated 25 sampling points, coefficient of determination between calculated volumetric moisture content data and measured ECa was R2 = 0.87. According to our results, volumetric moisture content can be mapped by applying ECa measurements in these particular soil types.
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Anderson T.W. Darling D.A. 1954. A test of goodness of fit. Journal of the American Statistical Association 49 765-769.
Baráth C. Ittzés A. Ugrósdy G. 1996. Biometry. (Biometria.) Mezőgazda Kiadó Budapest. (In Hungarian.)
Brevik E.C. Fenton T.E. 2002. The relative influence of soil water clay temperature and carbonate minerals on soil electrical conductivity readings taken with an EM-38 along a Mollisol catena in central Iowa. Soil Survey Horizons 43 9-13.
Cook P.G. Walker G.R. Buselli G. Potts I. Dodds A.R. 1992. The application of electromagnetic techniques to groundwater recharge investigations. Journal of Hydrology 130 201-229.
Corwin D.L. Lesch S.M. 2003. Application of soil electrical conductivity to precision agriculture. Theory principles and guidelines. Agron. J. 95 455-471.
Corwin D.L. Lesch S.M. 2005. Apparent electrical conductivity measurements in agriculture. Computers and Electronics in Agriculture 46 11-43.
Corwin D.L. Rhoades J.D. 1982. An improved technique for determining soil electrical conductivity-depth relations from above-ground electromagnetic measurements. Soil Sci. Soc. Am. J. 46 517-520.
Corwin D.L. Rhoades J.D. 1984. Measurement of inverted electrical conductivity profiles using electromagnetic induction. Soil Sci. Soc. Am. J. 48 288-291.
Dean R.B. Dixon W.J. 1951. Simplified statistics for small numbers of observations. Anal. Chem. 1951 23(4) 636-638.
Doležal F. Matula S. Barradas J.M.M. 2012. Improved horizontal installation of large soil moisture content sensors and interpretation of their readings in terms of preferential flow. J. Hydrol. Hydromech. 60 2012 4 333-338.
Ellsbury M.M. Woodson W.D. Malo D.D. Clay D.E. Carlson C.G. Clay S.A. 1999. Spatial variability in corn rootworm distribution in relation to spatially variable soil factors and crop condition. In: Robert P.C. Rust R.H. Larson W.E. (Eds.) Proceedings of the Fourth International Conference on Precision Agriculture St. Paul MN 19-22July 1998. ASA-CSSA-SSSA Madison WI USA 523-533.
Fitterman D.V. Stewart M.T. 1986. Transient electromagnetic sounding for groundwater. Geophysics 51 995-1005.
Grubbs F. 1969. Procedures for detecting outlying observations in samples. Technometrics 11(1) 1-21.
Halvorson A.D. Rhoades J.D. 1976. Field mapping soil conductivity to delineate dryland seeps with four electrode techniques. Soil Sci. Soc. Am. J. 44 571-575.
Justel A. Peña D. Zamar R. 1997. A multivariate Kolmogorov- Smirnov test of goodness of fit. Statistics and Probability Letters 35(3) 251-259.
Kaffka S.R. Lesch S.M. Bali K.M. Corwin D.L. 2005. Site-specific management in salt-affected sugar beet fields using electromagnetic induction. Comput. Electron. Agric. 46 329-350.
Kravchenko A.N. Bullock D.G. 2000. Correlation of corn and soybean gain yield with topography and soil properties. Agron. J. 92 75-83.
Milics G. 2013. Mapping soil properties for precision agriculture. Növénytermelés 62 Suppl. 405-408.
Milics G. Balla I. Deákvári J. Jolánkai M. Nagy V. Stekauerová V. Neményi M. 2012. Soil moisture and soil electrical conductivity measurements in site - specific agriculture. Pollution and Water Resources Columbia University Seminar Series XLI 219-231.
Milne B.T. 1991. Heterogeneity as a multiscale characteristic of landscapes. In: Kolasa J. Pickett S.T.A. (Eds.). Ecological heterogeneity. Ecological studies. 86 New York NY. Springer-Verlag 69-84.
Paraskevas C. Georgiu P. Ilias A. Panoras A. Babajimopoulos C. 2012. Calibration equations for two capacitance water content probes. Int. Agrophys. 2012 26 285-293.
Rhoades J.D. Corwin D.L. Lesch S.M. 1999. Geospatial measurements of soil electrical conductivity to assess soil salinity and diffuse salt loading from irrigation. In: Corwin D.L. Loague K. Ellsworth T.R. (Eds.) Assessment of non-point source pollution in the vadose zone. Geophysical Monograph 108 American Geophysical Union Washington DC USA 197-215.
Shah P.H. Shingh D.N. 2005. Generalized Archie’s law for estimation of soil electrical conductivity. Journal of ASTM International 2(5) 1-20.
Sharma B.D. Kar S. Sarkar S. 1997. Calibration of a water uptake simulation model under varying soil moisture regime and nitrogen level for wheat crop. Agricultural and Forest Meteorology 83(1-2) 135-146.
Williams B.G. Hoey D. 1987. The use of electromagnetic induction to detect the spatial variability of salt and clay contents of soils. Aust. J. Soil Res. 25 21-27.