Banana is the world's largest fruit crop. The
reducing sugar contents are prime quality
parameters regarding consumer preferences,
while the pigment content of the
fruit skin visually indicates fruit maturity [1,
2]. However, measuring such fruit parameters
wet-chemically is time-consuming.
Therefore, color attributes are generally
used to describe the produce within the
distribution/market chain. The present
study was conducted to assess the potential
of non-destructive rapid spectral-optical
readings in the visible (VIS) and near-infrared
(NIR) wavelength range to analyze fruit
pigment content and fruit sugar contents,
respectively.