Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{205311,
author = {Bhavana R and Chaya D Y and Harish C M and Anusha A and Joseph krupakar and Prakruthi B and Prathiksha S Choudri and Karthik N},
title = {Spatial Variability Of Soil Chemical Properties Using Statistical Analysis And Geostatistical Interpolation Method},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {13},
number = {1},
pages = {5767-5775},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=205311},
abstract = {Soil properties vary spatially and temporally because of soil formation processes, land use pattern, fertilization etc. Geostatistics, remote sensing and GIS offer some of the best tools and techniques to capture the spatial variability of soil properties. Soil nutrients have a significant impact on both agriculture and the environment, particularly with regards to soil fertility, soil quality. The research was conducted across several villages, including Navule, Mathode, Javali, Hoisanahalli, Dasar kallahali, Hunsodu, Basavangangur, Pillangiri, Abblegere, Hollebenvalli. A total of 50 soil samples were collected from top 0-20cm of soil surface and were air dried. Measurement of topsoil chemical properties such as moisture content, Ph, electrical conductivity, calcium carbonate were carried out as per Indian Standard codes. Descriptive statistics were computed, correlation between the soil properties was explored and also soil properties were interpolated and mapped using IDW interpolation method. Soil properties have very large variability. The large amount of variation in soil properties is due to agricultural practices. Correlation among soil properties is not consistent. There is no significant influence of soil type on soil properties range. Regional distribution maps of soil chemical properties were produced using IDW method.},
keywords = {},
month = {June},
}
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