• Dec 31, 2019 News!Welcome Assoc. Prof. David E. Breenürk from USA to join the Editorial board of IJMO.   [Click]
  • May 15, 2019 News!Vol.7, No.5- Vol.8, No.4 have been indexed by EI (Inspec).   [Click]
  • Jan 21, 2020 News!Vol 9, No 1- Vol 9, No 3 has been indexed by EI (Inspec)   [Click]
General Information
    • ISSN: 2010-3697  (Online)
    • Abbreviated Title: Int. J. Model. Optim.
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET), EBSCO, etc.
    • E-mail ijmo@iacsitp.com
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2014 Vol.4(1): 38-42 ISSN: 2010-3697
DOI: 10.7763/IJMO.2014.V4.344

Fruit Quality Estimation by Color for Grading

Hassan Sardar
Abstract—Food and other biological products are valued by their appearance. The food processing now a day’s very important issue for quality and standardized fruits and their products for consumers related to their health. In this research paper I proposed an logical updated algorithm to estimate quality and its standard level of fruits/fruit (i.e. Guava or any spherical fruit of same category) by its visual external surface color using the non-destructive technique (i.e. soft computing) to automated quality verification systems further which can be implemented in image processing to determine quality (i.e. un ripe, partial ripe, ripe or over ripe (bad fruit),in this work color play as key role, other parameters like size, shape ,hardness, softness, day light, day temperature, colorization also play valuable role for quality analysis process, further this research work can be used for grading and sorting of a fruit for agricultural products with the help of digital images (any format) which involve image analysis, visual examination and inspection of color. which can support to manufacture different eatable products according to their category level.

Index Terms—Image analysis, fruits color quantities, pixel value, digital camera, guava.

Hassan Sardar is with the Department of Computer Science at Punjabi University Baba Jogipeer Neighborhood Campus Ralla (Mansa) Punjab, India (e-mail: urshassu@yahoo.co.in).


Cite:Hassan Sardar, "Fruit Quality Estimation by Color for Grading," International Journal of Modeling and Optimization vol. 4, no. 1, pp. 38-42, 2014.

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