Predicting soil organic matter using corrected field spectra and stacking ensemble learning

Predicting soil organic matter using corrected field spectra and stacking ensemble learning

Soil organic matter (SOM), as a key indicator of soil fertility and the carbon cycle, its field rapid and precise quantification is of great scientific significance for precise agricultural management. Visible near-infrared (Vis-NIR) spectroscopy technology is a rapid and highly accurate SOM quantif...

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Bibliographic Details
Main Authors: Yu Wang, Xuhui Yan, Rongyanting Huo, Longcai Zhao, Jie Peng, Yongsheng Hong, Jing Liu
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Geoderma
Subjects:
Soil organic matter
Stacking model
Field spectra
Spectra correction methods
Online Access:http://www.sciencedirect.com/science/article/pii/S0016706125002551
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