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Enhanced VNIR and MIR proximal sensing of soil organic matter and PLFA-derived soil microbial properties through machine learning ensembles and external parameter orthogonalization

Portable visible-to-near-infrared (VNIR) and mid-infrared (MIR) spectroscopy coupled with machine learning can provide detailed and inexpensive information on various key soil properties. However, on-site VNIR and MIR proximal sensing applications are hampered by soil moisture and particle size vari...

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Furkejuvvon:
Váldodahkkit: Christopher Hutengs, Nico Eisenhauer, Martin Schädler, Simone Cesarz, Alfred Lochner, Michael Seidel, Michael Vohland
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: Elsevier 2024-10-01
Ráidu:Geoderma
Fáttát:
Soil spectroscopy
VNIR
MIR
Machine learning
EPO
Organic carbon
Liŋkkat:http://www.sciencedirect.com/science/article/pii/S0016706124002660
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