Automatic classification of Weevil-Infested Harum Manis mangoes using Artificial Immune Systems approach

Abstract

Nondestructive detection method is vital in quality, safety and integrity assurance during fruits and vegetables post harvest. X-ray imaging technology has been proven to be one of the successful nondestructive methods ever to be applied in detecting diseases and defects in agricultural products. In this research, infested Harum Manis mango fruits detection and quality classification will be done by integrating X-ray imaging techniques and Artificial Immune Systems (AIS). The classification is made by applying the AIS self and nonself recognition process unto the Harum Manis mango X-ray images. The output of this study is the proposed automatic nondestructive classification system of Harum Manis mango.