Classifying Piper Nigrum Using Artificial Bee Colony Algorithm

Pepper grading is one of the key elements in assuring the quality of the traded pepper. Currently, the pepper grading process performed by Malaysia Pepper Board (MPB) is semi-automated where a commercial colour sorter is used to distinguish white premium pepper and this grading process is very time consuming. In this paper we present the framework for pepper grading using the Artificial Bee Colony algorithm (ABC) to classify the white pepper berries from digital images. Our initial experiment on the image features indicates that colour, shape and textures could be used as the parameters for the ABC algorithm for classifying the pepper berries into its respective grades.