In this paper an automatic system for classification and
grading of mangos was developed. Traditionally manual
method by visual inspection is used for sorting and grading of
mangos. The new system was able to sort Alphonso mangos
with an accuracy of 83.3%.According to this defective skin
area up to 6.093845 x 10-4 sqcm can be identified. This new
system can increase the export quality of mangos considerably.
The system was developed for Alphoso mangos. But with
minor modifications it can be applied to any variety of mangos.
It can be further modified using high end machineries for
industrial applications.