Disease Detection in Plant Leaf Using Image Processing Technique

Authors

  • SubhangiKalingani
  • Bijay Kumar Ekka
  • Bibhu Santosh Behera

Keywords:

Image enhancement, K-means clustering, features extraction, image acquisition.

Abstract

Agriculture fills in as the spine for economy of a nation and is essential. So as to stay aware of good and malady free creation of yields various strategies are being actualized. Steps are being taken in the rustic territories to assist ranchers with best nature of bug sprays and pesticides. In a harvest, ailment generally influences on the leaves by which the yield doesn't get legitimate supplements and because of which its quality and amount additionally gets influenced. In this paper, we are utilizing programming for naturally recognizing the influenced region in a leaf and furnishing with a superior arrangement. For knowing the influenced region of a leaf we are utilizing different picture handling methods. It incorporates a few stages viz. picture procurement, picture pre-preparing, division, highlights extraction.

Downloads

Download data is not yet available.

Downloads

Published

2020-07-23

How to Cite

SubhangiKalingani, Bijay Kumar Ekka, & Bibhu Santosh Behera. (2020). Disease Detection in Plant Leaf Using Image Processing Technique. International Journal of Progressive Research in Science and Engineering, 1(4), 151–155. Retrieved from https://journal.ijprse.com/index.php/ijprse/article/view/120

Issue

Section

Articles