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Sample selection, calibration and validation of models developed from a large dataset of near infrared spectra of tree leaves

Au, Jessie; Youngentob, Kara; Foley, William; Moore, Ben D.; Fearn, Tom


Near infrared spectroscopy is widely used to rapidly and cost-effectively collect chemical information from plant samples. Large datasets with hundreds to thousands of spectra and reference values are increasingly becoming more common as researchers accumulate data over many years or across research groups. These datasets potentially contain great spectral and chemical variation and could produce a broadly-applicable calibration model. In this study, partial least squares regression was used to...[Show more]

CollectionsANU Research Publications
Date published: 2020
Type: Journal article
Source: Journal of Near Infrared Spectroscopy
DOI: 10.1177/0967033520902536


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