A new method for sorting and grading of mangos based on computer vision system

摘要

In this paper a new automated method for sorting and grading of mangos based on computer vision algorithms is presented. The application of this system is to replace the existing manual technique of sorting and grading used in India. The system is developed for Alphonso mangos, the premium variety of mango exported from India. The developed system was able to sort the Alphonso mangos with an accuracy of 83.3% and can identify a defective skin up to an min area of 6.093845×10 sqcm.