Table A2.

Model statistics for the prediction of moisture content.

Measurement Device	No. of Variables (Pixels or Wavelengths)	No. of LVs a	Cross-Validation						Validation
			RMSECV b	R2	RPD c	Bias d	Slope e	Offset f	RMSEP b
SpectraPod	16	6	1.8	0.96	5.0	−1.91 × 10−2	0.96	0.59	1.4
NIRscan	330	6	1.2	0.98	7.3	−4.42 × 10−2	0.98	0.19	1.1

^a LV = latent variables selected. ^b RMSECV and RMSEP = root mean square error of cross-validation (CV) and prediction (P), expressed in % (wet basis moisture content). ^c RPD = ratio of prediction to deviation. ^d Bias = average deviations of cross-validation outputs from their reference values. ^e Slope = the gradient from plot of cross-validation outputs vs. their reference values. ^f Offset = the y-axis offset from plot of cross-validation outputs vs. their reference values.