White pepper berries is one of the Malaysia’s key
export as it is categorised as high valued commodity product. At
present, processed white pepper berries are graded semiautomatically.
This process is time consuming as it dependent on
the experience of the pepper grader. In this paper we present a
solution for Sarawak White Pepper grading using a combination
of image processing technique and robotic solutions to sort
pepper berries into their respective grades. In particular, we
present the result of using different colour sensors. With the
automated sorting machine, more high grades pepper berries are
able to be sorted; this means more income to the smallholders,
which are the local pepper farmers
