Vol. 10, Issue 2 (2021)

Author(s):
Prashant Deo Singh, Ashok Kumar, BP Dhyani, Satendra Kumar, UP Shahi, Adesh Singh, Ashok Kumar, Abhilasha Pathak, Anand Singh and Pramod Kumar

Abstract:
Measurement of soil properties continuously at each location throughout the globe is impossible for digitally mapping the global soil resources. It is necessary to have a strong system that can predict soil properties at a given location in short time and without extra expenditure. Developing models to predict the physical properties with the help of one out of several strongly related properties to each other is an attempt of this study. Bulk density which is an important factor influencing soils other properties and easy to estimate has been used as an independent variable .The study indicates a strong negative correlation (r= -0.936 to - 0.999) between bulk density and different physical properties. Data shows that by using the regression equation developed in this study predicted value of different physical properties are almost 99.961 to 100 percent similar to observed values only 0.039 to 0 percent deviations in observed than predicted value was recorded. Hence these equations can be used to predict the physical properties for different textured soil in case the estimation is not practicable and may be functional to digital mapping of global soil resources.