Automated inspection is important since it provides a
more objective and thus consistent grading of fresh produce
over manual inspection [1]. Fruit quality, for example, is
commonly determined based on the extracted features representing
the size, shape, color and the presence of blemishes
and foreign materials [1]. The ability of manual inspection to
deliver accurate grading diminishes with the increase in the
number of factors that have to be considered [4], which raises
the need for consistent and objective grading. Automatic
grading is also more efficient since it increases the volume
of produce that can be inspected, thus elevating productivity.
Though the financial benefits of lowering the labor costs are
certainly one driving factor towards automated grading, in