|International Journal of Applied Information Systems|
|Foundation of Computer Science (FCS), NY, USA|
|Volume 12 - Number 1|
|Year of Publication: 2017|
|Authors: Dominic Asamoah, Richard Marfo, Stephen Opoku Oppong|
Dominic Asamoah, Richard Marfo, Stephen Opoku Oppong . Measuring the Severity of Fungi Caused Disease on Leaves using Triangular Thresholding Method. International Journal of Applied Information Systems. 12, 1 ( Apr 2017), 24-32. DOI=10.5120/ijais2017451668
Leaf disease detection and measurement is one of the most difficult tasks in agricultural image processing. This study discus in details the methods and means of detecting and measuring the severity of fungi caused disease on plant leaves using the triangular thresholding method. Four suspected images ware collected from different plant species and experiments were conducted on each to detect and measure the extent of damage caused by the fungi cause disease on the leaf. Analysis was made and the results proved to be about 97% accurate.