Spatial Prediction of Soil Particle-Size Fractions Using Digital Soil Mapping in the North Eastern Region of India

Spatial Prediction of Soil Particle-Size Fractions Using Digital Soil Mapping in the North Eastern Region of India

Numerous applications in agriculture, climate, ecology, hydrology, and the environment are severely constrained by the lack of detailed information on soil texture. The purpose of this study was to predict soil particle-size fractions (PSF) in the Ri-Bhoi district of Meghalaya state, India, using a...

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Bibliographic Details
Main Authors: Roomesh Kumar Jena, Pravash Chandra Moharana, Subramanian Dharumarajan, Gulshan Kumar Sharma, Prasenjit Ray, Partha Deb Roy, Dibakar Ghosh, Bachaspati Das, Amnah Mohammed Alsuhaibani, Ahmed Gaber, Akbar Hossain
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Land
Subjects:
digital soil mapping
environmental variables
random forest
uncertainty analysis
particle-size fractions
Online Access:https://www.mdpi.com/2073-445X/12/7/1295

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