Potential of spectroscopy in the wavelength range of 299–1100 nm for nondestructive prediction of dry
matter (DM) content, pH, sweetness (total soluble solids, TSS), and acid–Brix ratio (ABR) for banana was
studied to have proper estimation of their maturity and ripening stage. Partial least square (PLS) and
multiple linear regression (MLR) employing pre-processing techniques were carried out. PLS models
were found to be the best with multiple correlation coefficients for calibration and validation were found
to be 0.88 and 0.81 ◦Brix for TSS, 0.85 and 0.78 for ABR, 0.88 and 0.83 for pH and 0.90 and 0.87% for
DM, respectively. The standard errors of calibration, prediction, biases and differences in them were
low, which indicated that NIRS has potential to predict maturity and ripening parameters of banana
nondestructively.