IJERT-EMS
IJERT-EMS

Disease Detection of Crops Using Hybrid Algorithm


Disease Detection of Crops Using Hybrid Algorithm
Authors : Kripali S. Deshmukh
Publication Date: 28-12-2012

Authors

Author(s):  Kripali S. Deshmukh

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol.1 - Issue 10 (December - 2012)

e-ISSN:   2278-0181

Abstract

The studies of plant trait/disease refer to the studies of visually recognizable patterns of a particular plant. Currently crops face many traits/diseases. Harm of the insect is one of the major trait/disease. Insecticides are not always proved resourceful because insecticides may be noxious to some kind of birds. A common observe for plant scientists is to estimate the damage of plant (leaf, stem) because of disease by an eye on a scale based on percentage of affected area. It results in strong views and low throughput. This paper provides a advances in various methods used to revise plant diseases/traits using image processing. The methods studied are form increasing throughput & reducing subjectiveness arising from human being experts in detecting the plant diseases.

Citations

Number of Citations for this article:  Data not Available

Keywords

Key Word(s):    

Downloads

Number of Downloads:     2080
Similar-Paper

Call for Papers - May - 2017

        

 

                 Call for Thesis - 2017 

     Publish your Ph.D/Master's Thesis Online

              Publish Ph.D Master Thesis Online as Book