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Quality Inspection and Classification of Mangoes using Color and Size Features

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 98 - Number 1
Year of Publication: 2014
Ankur M Vyas
Bijal Talati
Sapan Naik

Ankur M Vyas, Bijal Talati and Sapan Naik. Article: Quality Inspection and Classification of Mangoes using Color and Size Features. International Journal of Computer Applications 98(1):1-5, July 2014. Full text available. BibTeX

	author = {Ankur M Vyas and Bijal Talati and Sapan Naik},
	title = {Article: Quality Inspection and Classification of Mangoes using Color and Size Features},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {98},
	number = {1},
	pages = {1-5},
	month = {July},
	note = {Full text available}


In terms of the productions of fruits and vegetables India holds the 2nd rank after China. India lacks of the automatic grading system even though the production of the agricultural products is so high. In India most of the grading of fruits are based on size feature which is done manually. Color and size are the most vital parameters to inspect the quality of the fruits. So the objective of this paper is to develop an algorithm for the automated grading system of mangoes which would be economically beneficial to the agriculture. The dataset of the mangoes are collected in Unripe, Semi Ripe and Ripe phases. They are given as the input to the system for processing. From the image of the mango the color and size feature extraction takes place. The dominant intensity of the 'a' channel of the Lab color space accounts for the color feature of the mango. The length of the major axis accounts for the size feature. Based on the extracted parameters with grading rules, the mango is classified into grade1, grade2, grade3 or rejected. Results show that the grading accuracy of 94. 97% was observed


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