Moisture Content Quantization of Masson Pine Seedling Leaf Based on Stacked Autoencoder with Near-Infrared Spectroscopy

Table 1

Calibration and prediction results of the moisture content in masson pine seedling leaves using different regression models.

Model	Calibration dataset		Prediction dataset
		RMSEC		RMSEP
MLR	0.9267	0.5619	0.3915	2.879
PLSR	0.9658	0.4079	0.8981	0.6774
SVR	0.9892	0.2285	0.9016	0.7052
ANN	0.9974	0.1123	0.9322	0.5559
SAE-ANN	0.9944	0.1644	0.9421	0.5228
SAE-SVR	0.9946	0.1636	0.9621	0.4249