Mid-Infrared and Near-Infrared Diffuse Reflectance Spectroscopy for Soil Carbon Measurement
By G. McCarty, J. Reeves, V. Reeves, R. Follett, J. Kimble. 2002
485 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Environmental Engineering, Soil Science
View Paper: https://www.semanticscholar.org/paper/b102fe0b80ca1b9b065d9b68f8e38b94e43a5690
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In Artificial Intelligence
In Environmental Engineering
In Soil Science
Citations in the corpus
- Accurate and Precise Prediction of Soil Properties from a Large Mid-Infrared Spectral Library (2019, background): “[15] reported a better prediction of OC (R2 = 0.”
- Validation requirements for diffuse reflectance soil characterization models with a case study of VNIR soil C prediction in Montana (2005, methodology): “Independent datasets, therefore, are often used to validate diffuse reflectance models (Dunn et al., 2002; McCarty et al., 2002; Shepherd and Walsh, 2002), with the standard approach being to randomly select 25–33% of a given dataset to hold out of model construction for validation.”