An Automated Method based on Image Processing for Grading of Harvested Mangoes

Authors

  • Tabbu Mulani  Department of computer engineering, Trinity Academy of Engineering , Pune, Mahrashtra, India
  • Shahin Khan  Department of computer engineering, Trinity Academy of Engineering , Pune, Mahrashtra, India
  • Nazneen Shaikh  Department of computer engineering, Trinity Academy of Engineering , Pune, Mahrashtra, India
  • Poonam Lalge  Department of computer engineering, Trinity Academy of Engineering , Pune, Mahrashtra, India

Keywords:

Maturity, Quality, Grading, Days-to-rot, Grey scaling , Blurring.

Abstract

The proper grading of fruits is very important to increase the profitability in agricultural and food industry . In this paper, a scheme for automated grading of mango (Mangifera Indica L.) according to maturity has been proposed. The proposed scheme grades the mangoes in four different categories, which are determined on the basis of market distance and market value. The image of mango is given to the system thereafter several preprocessing algorithms like Grey-Scaling, Blurring, Thresholding are applied followed by RGB to HSV conversion algorithm and K-means algorithm are applied to get the final result.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-04-30

Issue

Volume 2, Issue 2, March-April-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Tabbu Mulani, Shahin Khan, Nazneen Shaikh, Poonam Lalge, " An Automated Method based on Image Processing for Grading of Harvested Mangoes" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.699-703, March-April-2017.