Plant Leaf Disease Detection and Classification using Image Processing

International Journal of Research and Engineering

View Publication Info
 
 
Field Value
 
Title Plant Leaf Disease Detection and Classification using Image Processing
 
Creator Min Oo, Yin
Chi Htun, Nay
 
Description Myanmar is an agricultural country and then crop production is one of the major sources of earning. So, more than half of our population depends on agriculture for livelihood. Due to the factors like diseases, pest attacks and sudden change in the weather condition, the productivity of the crop decreases. Automatic detection of plant diseases is essential to automatically detect the symptoms of diseases as early as they appear on the growing stage. This paper proposed a methodology for the analysis and detection of plant leaf diseases using digital image processing techniques. The experimental results demonstrate that the proposed system can successfully detect and classify four major plant leaves diseases: Bacterial Blight and Cercospora Leaf Spot, Powdery Mildew and Rust.
 
Publisher IJRE Publisher
 
Date 2018-11-06
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://digital.ijre.org/index.php/int_j_res_eng/article/view/359
10.21276/ijre.2018.5.9.4
 
Source International Journal of Research and Engineering; Vol 5 No 9 (2018): September-October 2018 Edition; 516-523
2348-7860
2348-7852
 
Language eng
 
Relation https://digital.ijre.org/index.php/int_j_res_eng/article/view/359/327
 

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