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A Review : Leaf Disease Detection Using Image Processing
Authors(5) :-Prof. Neha Chourasia, Mayuri Mahalle, Shubhangi Daduriya, Surbhi Lanjewar, Urvashi Giri
Identification of the plant diseases is the key to preventing the losses in the yield and quantity of the agricultural product. The studies of the plant diseases mean the studies of visually observable patterns seen on the plant. Health monitoring and disease detection on plant is very critical for sustainable agriculture. In this paper we present an automatic detection of plant diseases using image processing techniques. The presented system is a software solution for automatic detection and computation of texture statistics for plant leaf diseases. The processing system consists of four main steps, first a color transformation structure for the input RGB image is created, then the green pixels are masked and removed using specific threshold value, then the image is segmented and the useful segments are extracted, finally the texture statistics is computed. From the texture statistics, the diseases, if present on the plant leaf are evaluated.
Prof. Neha Chourasia, Mayuri Mahalle, Shubhangi Daduriya, Surbhi Lanjewar, Urvashi Giri
Image Acquisition, Pre-Processing, Features Extraction, Classification, Neural Network
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Published in : Volume 4 | Issue 5 | March-April 2018
Date of Publication : 2018-03-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 169-173
Manuscript Number : IJSRST1184544
Publisher : Technoscience Academy
PRINT ISSN : 2395-6011
ONLINE ISSN : 2395-602X
Cite This Article :
Prof. Neha Chourasia, Mayuri Mahalle, Shubhangi Daduriya, Surbhi Lanjewar, Urvashi Giri, "A Review : Leaf Disease Detection Using Image Processing", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 5, pp.169-173, March-April-2018.
Journal URL : http://ijsrst.com/IJSRST1184544