Summary:
Plate 12.3. Examples of the output of predictive hyperspectral models for: (A) wheat leaf nitrogen content; (B) Vcmax, a modelled parameter indicative of Rubisco content and (C) leaf mass. Partial least-squares regression was used to generate a spectral model based on calibration data acquired by destructive or traditional low throughput techniques and then applied to leaf spectra to predict traits. Source: based on data from Silva-Perez et al. (2018).
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