Ufaq Khan et al, International Journal of Computer Science and Mobile Computing, Vol.8 Issue.4, April- 2019, pg. 59-68
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International Journal of Computer Science and Mobile Computing
A Monthly Journal of Computer Science and Information Technology
ISSN 2320–088X
IMPACT FACTOR: 6.199
IJCSMC, Vol. 8, Issue. 4, April 2019, pg.59 – 68
Plant Disease Detection
Techniques: A Review
*Ufaq Khan; **Dr. Ashish Oberoi
* ufaqkhancu@gmail.com, ** a_oberoi01@yahoo.co.in
M.Tech (Student), Department of Computer Science & Engineering, RIMT University
Professor, Department of Computer Science & Engineering, RIMT University
ABSTRACT: The Plant disease detection is the technique which is applied to detect diseases from the
infected plants. The plant disease detection techniques consist of two phases, in the first phase segmentation
of the input image done which detect diseased portion from the input image. The technique of features
extraction is applied which will extract the features of the image and also classify extracted features using
various classifiers. In this paper, various techniques of segmentation, feature extraction and classification is
reviewed and discussed in terms of various parameters.
INTRODUCTION
1.1 Image Processing
Image consists of finite number of elements each of which has a particular location and value. These elements
are called picture element and pixels. Digital image processing refers to processing of digital images by means
of digital computers. It is a process to convert an image into digital form and perform some operations to get an
enhanced image and extract useful information from it. There are different types of image processing fields like
nuclear medicine, astronomical observation, signature recognition, number plate detection, agriculture etc.
Digital image processing is widely used in agricultural field. It is used in, harvest control, fruit grading, seeding
and food picking, plant disease detection etc.
1.2 Plant Disease Detection
Plant diseases cause several devastating economical, social and ecological losses. It is necessary to detect plant
disease accurately on its minor stage to protect the quality and quantity of crops. There are several ways to
detect plant pathologies. Some diseases do not have any visible symptoms associated and farmers can‟t
recognize it easily. In those cases, normally some kind of sophisticated analysis, usually by means of powerful
microscopes is necessary. In other cases, the signs can only be detected by imaging machine which cover almost