Disease Identification of Pomegranate Fruit using Image Processing

  • Daneshwari NOOLA


India is among the country where most of the people depend on agriculture. The identification of pomegranates fruit disease is a challenge that can be made easy by using image processing for detecting diseases of fruit. With this system it is possible to detect type of disease, the affected area and severity of the disease. Now the proposed work is the first step towards the design of such device which helps for interpretation, the algorithm is implemented in MATLAB.

Keywords: Identification


[1] Khot.S.T, Patil Supriya, Mule Gitanjali, Labade Vidya, Pomegranate Disease Detection Using Image Processing Techniques,International Journal of Advanced Research in Electrical,Electronics and Instrumentation EngineeringVol. 5, Issue 4, April 2016.

[2] Swati Dewliya, Ms. Pratibha Singh, Detection and classification for apple fruit diseases using support vector machine and chain code,International Research Journal of Engineering and Technology (IRJET) ,Volume: 02 Issue: 04 | Aug-2015.

[3] Tejal Deshpande1, Sharmila Sengupta2, K.S.Raghuvanshi, Grading & Identification of Disease inPomegranate Leaf and Fruit, International Journal of Computer Science and Information Technologies, Vol. 5 (3), 2014
[4] Monika Jhuria, Ashwani Kumar, Rushikesh Borse,”Image Processing For Smart Farming: Detection of Disease and Fruit Grading”, IEEE, Proceedings of the 2013 IEEE Second International Conference on Image Information Processing, 2013
[5] Jagdeesh D. Pujari, Rajesh Yakkundimath , Abdulmunaf S. Byadgi, ”Statistical Methods for uantitatively Detecting Fungal Disease from Fruit’s Image”, International Journal of Intelligent System and Application in Engineering,vol.1(4),60-67,2013
[6] Shiv Ram Dubey, Anand singh Jalal, “Detection and Classification of Apple Fruit Diseases using Complete Local Binary Patterns” IEEE, Third international conference on Computer and communication Technology, 2012
[7] Ilaria Pertot, Tsvi Kuflik, Igor Gordon, Stanley Freeman, Yigal Elad, Identificator: A web-based tool for visual plant disease identification, aproof of concept with a case study on strawberry, Computers and Electronics in Agriculture, Elsevier, 2012, Vol.88, p.144-154.

[8] Xiaoou Tang, Fang Wen, IntentSearch: Capturing User Intention for One-Click Internet Image Search, IEEE transactions on pattern analysisand machine intelligence, 2012, vol.34, p.1342-1353.

[9] Parag Shinde, Amrita Manjrekar, Efficient Classification of Images using Histogram based Average Distance Computation Algorithm Extended with Duplicate Image Detection Elsevier, proc. Of Int. Conf. On advances in Computer Sciences, AETACS, 2013.
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How to Cite
NOOLA, D. (2018). Disease Identification of Pomegranate Fruit using Image Processing. Asian Journal For Convergence In Technology (AJCT), 4(II). https://doi.org/10.33130/asian journals.v4iII.609