Performance of the Global-Local modelling approach for FT-NIR predictions of SOC and TN in diverse Saskatchewan agricultural soils

Precision agriculture requires a reliable, cost-effective method to measure soil organic carbon (SOC) and total nitrogen (TN), and Fourier Transform Near Infrared (FT-NIR) spectroscopy offers a promising solution. Here, we applied the Global-Local model to improve FT-NIR SOC and TN predictions in Sa...

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Bibliographic Details

Published in:	Geoderma
Main Authors:	Gbenga Adejumo, Mervin St. Luce, David Bulmer, Preston Sorenson, Derek Peak
Format:	Article
Language:	English
Published:	Elsevier 2025-09-01
Subjects:	FT-NIR spectroscopy Predictive modelling Soil organic carbon Total nitrogen The Global-Local model
Online Access:	http://www.sciencedirect.com/science/article/pii/S0016706125003180