Identification of Plant Disease using Image Processing and Pattern Recognition - A Review

Authors

  • D. Asir Antony Gnana Singh  Department of Computer Science and Engineering, Anna University, BIT Campus, Tiruchirappalli India
  • E. Jebamalar Leavline  Department of Electronics and Communication Engineering, Anna University, BIT Campus, Tiruchirappalli, India
  • A. K. Abirami  Department of Computer Science and Engineering, Anna University, BIT Campus, Tiruchirappalli, India
  • M. Dhivya  

Keywords:

Plant Disease, Image Processing and Pattern Recognition, SVM, PNN, BPNN

Abstract

Agriculture is the backbone of the nation as it provides food and job opportunity to the humankinds and directly contributes to the economic growth of the nation. In agriculture, plant disease identification is more important one. If the diseases can be prevented early that would be more to helpful to farmers to save the crops. This paper conducts the literature review on identification of disease of the plant by using symptoms on leaves. There are several methods reported in the literature to identify the disease. Moreover, many researchers paid their attention in identification of plant leaf disease and some of them used image processing and machine learning techniques to perform the disease prediction. This paper presents a review on identification of plant disease using image processing and recognition.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-02-28

Issue

Volume 3, Issue 8, November-December-2017

Section

Research Articles

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How to Cite

[1]
D. Asir Antony Gnana Singh, E. Jebamalar Leavline, A. K. Abirami, M. Dhivya, " Identification of Plant Disease using Image Processing and Pattern Recognition - A Review , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 8, pp.1090-1094, November-December-2017.