Disease Detection of Crops Using Hybrid Algorithm

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


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


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.


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