Title :
A new method for sorting and grading of mangos based on computer vision system
Author :
Pauly, Leo ; Sankar, Deepa
Author_Institution :
Div. of Electron. & Commun. Eng., Cochin Univ. of Sci. & Technol., Kochi, India
Abstract :
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 6.093845×10-4 sqcm.
Keywords :
agricultural products; computer vision; image classification; Alphonso mango; India; computer vision algorithm; computer vision system; defective skin identification; mango classification; mango grading; mango sorting; Computer vision; Conferences; Machine vision; Shape; Skin; Sorting; Computer Vision; Hue moments; Mango Grading and Sorting;
Conference_Titel :
Advance Computing Conference (IACC), 2015 IEEE International
Conference_Location :
Banglore
Print_ISBN :
978-1-4799-8046-8
DOI :
10.1109/IADCC.2015.7154891
