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

Authors(4) :-Tabbu Mulani, Shahin Khan, Nazneen Shaikh, Poonam Lalge

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 699-703
Manuscript Number : CSEIT1722208
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

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.
Journal URL : http://ijsrcseit.com/CSEIT1722208

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