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

10.14445/23488549/IJECE-V9I4P102

How to Cite?

Fouqiya Badar, Ayesha Naaz, "Detection of Fruit Diseases using Image Processing Techniques: A Review," SSRG International Journal of Electronics and Communication Engineering, vol. 9,  no. 4, pp. 10-14, 2022. Crossref, https://doi.org/10.14445/23488549/IJECE-V9I4P102

Abstract:

The production of fruit crops is necessary for India. It is important in terms of economy and nutritional value and feeds humans and other living beings. 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.

Keywords:

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

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