Building a near-infrared (NIR) soil spectral dataset and predictive machine learning models using a handheld NIR spectrophotometerZenodo

This near-infrared spectral dataset consists of 2,106 diverse mineral soil samples scanned, on average, on six different units of the same low-cost commercially available handheld spectrophotometer. Most soil samples were selected from the USDA NRCS National Soil Survey Center-Kellogg Soil Survey La...

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Podrobná bibliografie

Hlavní autoři:	Colleen Partida, Jose Lucas Safanelli, Sadia Mannan Mitu, Mohammad Omar Faruk Murad, Yufeng Ge, Richard Ferguson, Keith Shepherd, Jonathan Sanderman
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2025-02-01
Edice:	Data in Brief
Témata:	Soil spectroscopy Soil organic carbon Pedometrics Chemometrics Soil analysis
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2352340924011910
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