Soil organic carbon (SOC) prediction using super learner algorithm based on the remote sensing variables

The absorption of carbon into the soil and its accurate monitoring is crucial for crop production rates and for mitigating global warming through increased carbon sequestration. Soil organic carbon (SOC) predictions using machine learning techniques have been actively researched because of their abi...

Full description

Bibliographic Details

Published in:	Environmental Challenges
Main Authors:	Yeonpyeong Jo, Palash Panja, Hanseup Kim, Milind Deo
Format:	Article
Language:	English
Published:	Elsevier 2025-06-01
Subjects:	Soil organic carbon Superlearner algorithm Base learner selection Remote sensing Feature selection
Online Access:	http://www.sciencedirect.com/science/article/pii/S2667010025000794