This paper is published in Volume-7, Issue-3, 2021
Area
Image Processing
Author
Komala T., Ashwini S. S., Dr. M. Z. Kurian
Org/Univ
Sri Siddhartha Institute of Technology, Tumakuru, Karnataka, India
Pub. Date
24 May, 2021
Paper ID
V7I3-1452
Publisher
Keywords
Lant Leaf, Disease, Image Processing, Machine Learning, Agriculture

Citationsacebook

IEEE
Komala T., Ashwini S. S., Dr. M. Z. Kurian. Prediction of plant leaf disease using image pre-processing and filter based optimal feature selection for KNN classifier, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Komala T., Ashwini S. S., Dr. M. Z. Kurian (2021). Prediction of plant leaf disease using image pre-processing and filter based optimal feature selection for KNN classifier. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.

MLA
Komala T., Ashwini S. S., Dr. M. Z. Kurian. "Prediction of plant leaf disease using image pre-processing and filter based optimal feature selection for KNN classifier." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.

Abstract

In plants, disease detection is a significant task related to the agricultural production of a country. The major economy of a country is linked with agricultural production which is very important for the development of a nation. Any kind of infection on the leaves of the plants leads to a loss in crop production and puts down the effort of farmers which in turn hits the economy and livelihood of the country. In this paper, we propose an image processing and filter-based feature selection method which distinguishes the disease of the plant leaf and classifies them using a KNN classifier. Using the feature selection process the unwanted redundancy and irrelevant data is filtered which helps the classifier to learn and classify the data more precisely.
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