Manuscript Number : IJSRST1184545
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
Image Acquisition, Pre-Processing, Features Extraction, Classification, Neural Network.
Publication Details
Published in :
Volume 4 | Issue 5 | March-April 2018 Article Preview
ETC Department, RTMNU, Nagpur, Maharashtra, India
Mayuri Mahalle
ETC Department, RTMNU, Nagpur, Maharashtra, India
Shubhangi Daduriya
ETC Department, RTMNU, Nagpur, Maharashtra, India
Surbhi Lanjewar
ETC Department, RTMNU, Nagpur, Maharashtra, India
Urvashi Giri
ETC Department, RTMNU, Nagpur, Maharashtra, India
Date of Publication :
2018-04-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) :
292-296
Manuscript Number :
IJSRST1184545
Publisher : Technoscience Academy
Journal URL :
http://ijsrst.com/IJSRST1184545