Apples Grading based on SVM Classifier

IJCA Proceedings on National Conferecne on Advanced Computing and Communications 2012
© 2012 by IJCA Journal
NCACC - Number 1
Year of Publication: 2012
Suresha M
Shilpa N. A
Soumya B

Suresha M, Shilpa N.a and Soumya B. Article: Apples Grading based on SVM Classifier. IJCA Proceedings on National Conferecne on Advanced Computing and Communications 2012 NCACC(1):27-30, August 2012. Full text available. BibTeX

	author = {Suresha M and Shilpa N.a and Soumya B},
	title = {Article: Apples Grading based on SVM Classifier},
	journal = {IJCA Proceedings on National Conferecne on Advanced Computing and Communications 2012},
	year = {2012},
	volume = {NCACC},
	number = {1},
	pages = {27-30},
	month = {August},
	note = {Full text available}


In this paper, effective automatic grading of apples is proposed. The apples RGB images is converted into HSV image and threshold based approach is used for segmentation of apples from the background. Average red and green color components of the apples are determined for classification of apples. With the help of support vector machines (SVMs), classification is done and found accuracy of 100%.


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