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

Reference45 articles.

1. Total soil organic carbon and carbon sequestration potential in Nigeria

2. GlobalSoilMap

3. Total carbon and nitrogen in the soils of the world

4. Modelling soil attribute depth functions with equal-area quadratic smoothing splines

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