NIR models for soluble solids content of apple were developed.
Both short wave (SWNIR) and long wave (LWNIR) wavelength ranges were considered.
Color compensation significantly improves prediction accuracy for SWNIR.
Nonlinear calibration models were better than linear ones.
Wavelength selection and latent variable construction algorithms were investigated.