Call for Paper - March 2020 Edition
IJCA solicits original research papers for the March 2020 Edition. Last date of manuscript submission is February 20, 2020. Read More

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


  • Xu Liming and Zhao Yanchao, "Automated strawberry grading system based on image processing," Computers and Electronics in Agriculture, vol. 71, no. Supplement 1, pp. S32-S39, April 2010.
  • Tajul Rosli Bin Razak, Mahmod Bin Othman(DR), Mohd Nazari Bin Abu Bakar(DR), Khairul Adilah BT Ahmad, and AB. Razak Bin Mansor, "Mango Grading By Using Fuzzy Image Analysis," in In proceedings of International Conference on Agricultural, Environment and Biological Sciences, Phuket, 2012.
  • Teoh, Yeong Kin, Abu Hasan, Suzanawati, AND Sauddin@Sa'duddin, Suraiya. "Automated Mango Fruit Grading System Using Fuzzy Logic" Journal of Agricultural Science [Online], Volume 6 Number 1, December 2013.
  • Kazuhiro Nakano, "Application of neural networks to the color grading of apples," Computers and Electronics in Agriculture, vol. 18, no. 2-3, pp. 105-116, August 1997.
  • M. Khojastehnazhand, M. Omid, and A. Tabatabaeefar, "Development of a lemon sorting system based on color and size," African Journal of Plant Science, vol. 4(4), pp. 122-127, April 2010.
  • Akira Mizushima and Renfu Lu, "An image segmentation method for apple sorting and grading using support vector machine and Otsu's method," Computers and Electronics in Agriculture, vol. 94, pp. 29-37, June 2013.
  • Nursuriati Jamil, Azlinah Mohamed, and Syazwani Abdullah, "Automated Grading of Palm Oil Fresh Fruit Bunches (FFB) using Neuro-Fuzzy Technique," 2009 International Conference of Soft Computing and Pattern Recognition, pp. 245-249, 2009.
  • Yousef Al Ohali, "Computer vision based date fruit grading system: Design and implementation," Journal of King Saud University - Computer and Information Sciences, vol. 23, no. 1, pp. 29-39, January 2011
  • U. Ahmad, M. Suhil, R. Tjahjohutomo, and H. K. Purwadaria, "Development of Citrus Grading System Using Image Processing". [Online] http://repository. ipb. ac. id/handle/123456789/68910
  • Naoshi Kondo, Usman Ahmad, Mitsuji Monta, and Haruhiko Murase, "Machine vision based quality evaluation of Iyokan orange fruit using neural networks," Computers and Electronics in Agriculture, vol. 29, no. 1-2, pp. 135-147, October 2000.
  • Ankur M Vyas, Bjial Talati and Sapan Naik. Article: Colour Feature Extraction Techniques of Fruits: A Survey. International Journal of Computer Applications 83(15):15-22, December 2013. Published by Foundation of Computer Science, New York, USA.
  • Cheng, Heng-Da, X. H. Jiang, Ying Sun, and Jingli Wang. "Colour image segmentation: advances and prospects. " Pattern recognition 34, no. 12 (2001): 2259-2281.
  • Naik S. and Patel B, "CIELab based color feature extraction for maturity level grading of Mango (Mangifera Indica L ), National journal of System and Information technology , ISSN: 0974 3308.