The week's pick
Reseach Article
Detection of Plant Leaf Disease Employing Image Processing and Gaussian Smoothing Approach
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 162 - Number 2 |
| Year of Publication: 2017 |
| Authors: Isaac Kofi Nti, Gyamfi Eric, Yeboah Samuel Jonas |
10.5120/ijca2017913260
|
Isaac Kofi Nti, Gyamfi Eric, Yeboah Samuel Jonas . Detection of Plant Leaf Disease Employing Image Processing and Gaussian Smoothing Approach. International Journal of Computer Applications. 162, 2 ( Mar 2017), 20-25. DOI=10.5120/ijca2017913260
Abstract
A study of plant observation is critical to regulate the unfold of illness in plants, but its value could be higher and as a result, the producers of agricultural products often skip important preventive procedures to keep their production cost at low value. The detection of plant leaf is a vital factor to forestall serious natural event. Most plant diseases are caused by bacteria, fungi, and viruses. An automatic detection of plant disease is a necessary analytical topic. Computer vision techniques are used to uncover the affected spots from the image through an image processing technique capable of recognizing the plant lesion options is delineated in this paper. The achieved accuracy of the overall system is 90.96%, in line with the experimental results.
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