Influence of the number of samples on prediction error of visible and near infrared spectroscopy of selected soil properties at the farm scale
By Boyan Kuang, Abdul Mounem Mouazen. 2011
87 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Environmental Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/0752fb1100f27fb75fcdaa0d6cc9c7e065fa35ef
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Analytical Chemistry
In Environmental Engineering
- Leonardo Ramirez-Lopez
- S. Wills
- Jonathan Sanderman
- Shree R. S. Dangal
- Thomas Scholten
- José Alexandre Mello Demattê
- K. Schmidt
- Thorsten Behrens
In Mechanical Engineering
Citations in the corpus
- Accurate and Precise Prediction of Soil Properties from a Large Mid-Infrared Spectral Library (2019, background): “Visible (vis; 400–700 nm), near-infrared (NIR; 700–2500 nm), and mid-infrared (MIR; 2500–25,000 nm) regions have been used widely to characterize soil minerals and organic matter at the global [5,7,8], regional [9,10], national [11,12] and local scale [13].”
- Sampling optimal calibration sets in soil infrared spectroscopy (2014, background): “Despite the well-known potential of vis–NIR spectroscopy to obtain soil information at high spatial resolution, research on both the sampling strategy and the adequate calibration set size has not received enough attention (Grinand et al., 2012; Kuang and Mouazen, 2012).”