International Journal of Statistics and Applied Mathematics
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2023, Vol. 8, Special Issue 4, Part H

spatial variability of soil micronutrients in Raichur district of Karnataka


Author(s): Satish Y, Shashi Shekhar, Abhishek Singh1 Santosh Rathod and Neelam Chouksey

Abstract: Geostatistical methods can be used to estimate spatial variability of soil characteristics and soil nutrients in farmer fields. The study aims to know the spatial variability of four micronutrients (Zn, Fe, Cu & Mn) in farmer fields of Raichur district and to determine the nutrient status at unsampled locations by creating surface maps of soil nutrients for the entire study area. The spatial variability of these soil nutrients was assessed using three semivariogram models: exponential, Gaussian, and stable, and relevant surface maps for the entire district were created using ordinary kriging to determine the nutrient status at unsampled locations. The results showed that the Exponential model provided the greatest fit in all trace elements, with a decreased nugget effect and a wide range. The prediction accuracy of krigged maps was evaluated using Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and goodness of prediction (G), and the exponential model was determined to be the best fit to data. The outcomes of this work will assist farmers and agricultural planners in predicting micronutrient concentrations in soils using geostatistical models.

Pages: 560-567 | Views: 157 | Downloads: 7

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How to cite this article:
Satish Y, Shashi Shekhar, Abhishek Singh1 Santosh Rathod, Neelam Chouksey. spatial variability of soil micronutrients in Raichur district of Karnataka. Int J Stat Appl Math 2023;8(4S):560-567.
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