Spectroscopy in practice
How we build spectral models, what results from specific applications show, and what’s new in VIS-NIR spectroscopy. Articles, measurement data, and scientific publications from the ScanSpectrum team.
How to build a spectral model that works outside the lab
From choosing reference samples to cross-validation. A practical step order for VIS-NIR calibration, and the most common reasons a model stops working in the field.
Spectral preprocessing: SNV, derivatives, and Savitzky-Golay smoothing
Four transforms that decide a model's quality more than the choice of algorithm. When each one helps, and when it strips out the information needed for prediction.
Nitrogen in wheat: model results from 1,200 field measurements
Prediction accuracy for nitrogen content across four growth stages, compared against lab analysis. Where the model is confident, and where it needs extra calibration.
Detecting olive oil adulteration in three seconds
An admixture of cheap rapeseed oil changes the spectrum in a few narrow ranges. We show at what admixture share the measurement picks it up.
Publication: portable VIS-NIR spectroscopy for assessing nitrogen status in rapeseed
A summary of the ScanSpectrum team's paper, with a link to the full text and dataset. Four seasons of field trials, 18 locations.
Why the red edge is the most sensitive range in plant measurement
Between 690 and 750 nm, leaf reflectance rises several-fold. This one edge carries more information about plant condition than the rest of the visible spectrum combined.
A short history of spectroscopy: from Newton's prism to a sensor in your pocket
Two hundred years from splitting light to a device that measures a material's composition in the field. The milestones that led to the method's availability today.
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