Prediction of Soil Inorganic Carbon at Multiple Depths Using Quantile Regression Forest and Digital Soil Mapping Technique in the Thar Desert Regions of India-Reference-Cited by-同舟云学术

Prediction of Soil Inorganic Carbon at Multiple Depths Using Quantile Regression Forest and Digital Soil Mapping Technique in the Thar Desert Regions of India

Published:2023-09-05 Issue:21 Volume:54 Page:2977-2994
ISSN:0010-3624
Container-title:Communications in Soil Science and Plant Analysis
language:en
Short-container-title:Communications in Soil Science and Plant Analysis

Author:

Moharana Pravash Chandra¹,Dharumarajan S.²,Yadav Brijesh³,Jena Roomesh Kumar⁴,Pradhan Upendra Kumar⁵,Sahoo Sonalika⁶,Meena Ram Swaroop⁷,Nogiya Mahaveer³,Meena Roshan Lal³,Singh Ram Sakal³,Singh Surendra Kumar⁸,Dwivedi Brahma Swarup¹

Affiliation:

1. ICAR-National Bureau of Soil Survey and Land Use Planning, Nagpur, India

2. ICAR-National Bureau of Soil Survey and Land Use Planning Regional Centre, Bangalore, India

3. Regional Centre, ICAR-National Bureau of Soil Survey and Land Use Planning, Udaipur, India

4. ICAR-Indian Institute of Water Management, Bhubaneswar, India

5. ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India

6. Regional Centre, ICAR-Central Inland Fisheries Research Institute, Bengaluru, Karnataka, India

7. Regional Centre, ICAR-National Bureau of Soil Survey and Land Use Planning, Jorhat, India

8. ICAR-Central Coastal Agricultural Research Institute, Goa, India

Funder

ICAR-National Bureau of Soil Survey and Land Use Planning

Publisher

Informa UK Limited

Subject

Soil Science,Agronomy and Crop Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/00103624.2023.2253840

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