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Research Scientific Reports · Nature Portfolio

Soil organic carbon modeling in cropland under several climatic scenarios using machine learning in western India

Authors: Amanullah Adeel, Mustafa Hasani, A. S. Jadhav

Published: 17 January 2026

DOI: 10.1038/s41598-026-35191-4

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Soil organic carbon modeling in cropland under several climatic scenarios using machine learning in western India

Abstract

This peer-reviewed study combines machine learning, remote sensing, Google Earth Engine and GIS to assess soil organic carbon in western India under different climate scenarios. The findings highlight risks of soil-carbon loss under high-emission pathways and the relevance of conservation farming for soil health. Mustafa Hasani is the second author.