Plant Phenomics / 2022 / Article / Fig 4

Research Article

Estimating Photosynthetic Attributes from High-Throughput Canopy Hyperspectral Sensing in Sorghum

Figure 4

Cross-validated predictions of (a), (b), and (c) and corresponding loadings with principal components 1 and 2 for (d), (e), (f) using partial least square regression (PLSR) and reflectance values at various wavelengths between 395 and 997 nm. Note: Bottom panels (d, e, and f) show model loadings which represent the relative importance of a given spectral wavelength in each model (a, b, and c, respectively); values in brackets indicate the percentage of variance explained by the first two principal components.