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]
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.