Deep learning of the particulate and mineral-associated organic carbon fractions using a compositional transform and mid-infrared spectroscopy

Deep learning of the particulate and mineral-associated organic carbon fractions using a compositional transform and mid-infrared spectroscopy

We need soil organic carbon (SOC) and the SOC fractions, the particulate and mineral-associated organic carbon (POC, MAOC), to understand SOC dynamics. They have implications for soil management, carbon sequestration and climate change mitigation. However, conventional laboratory measurements of the...

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Bibliographic Details
Main Authors: Mingxi Zhang, Zefang Shen, Lewis Walden, Farid Sepanta, Zhongkui Luo, Lei Gao, Oscar Serrano, Raphael A. Viscarra Rossel
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Geoderma
Subjects:
Carbon fractions
Particulate organic carbon
Mineral-associated organic carbon
Deep learning
Logratio transformation
Soil spectroscopic modelling
Online Access:http://www.sciencedirect.com/science/article/pii/S001670612500045X
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