Detection of Fruit Diseases using Image Processing Techniques: A Review

International Journal of Electronics and Communication Engineering
© 2022 by SSRG - IJECE Journal
Volume 9 Issue 4
Year of Publication : 2022
Authors : Fouqiya Badar, Ayesha Naaz
MLA Style:

Fouqiya Badar, and Ayesha Naaz. "Detection of Fruit Diseases using Image Processing  Techniques: A Review" SSRG International Journal of Electronics and Communication Engineering, vol. 9, no. 4, Apr. 2022, pp. 10-14.  Crossref,

APA Style:

Fouqiya Badar, & Ayesha Naaz. (2022). Detection of Fruit Diseases using Image Processing  Techniques: A Review. SSRG International Journal of Electronics and Communication Engineering, 9(4), 10-14.


Production of fruit crops is a very necessary part of India. It is important in terms of economy and nutritional value, and it feeds not only humans but other living beings also. the trees provide shelter to living beings. Also, it absorbs many harmful gases and gives us pure and free oxygen. Fruits are a lot better than junk food, which has become the cause of many diseases today. Keeping these aspects in mind, the fruits must be prevented from getting infected with diseases at an early stage itself. This paper reviews the various image processing methods that can be used to detect diseases in fruits based on symptoms. Then the research gaps for every paper have been highlighted. This paper aims to help other researchers get to know the various methods that can be used in fruit disease detection.


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Key Words:

Image Processing, k-means clustering, Object tracking, Deep learning, Disease