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August Edition 2021

International Journal of Applied Information Systems solicits high quality original research papers for the August 2021 Edition of the journal. The last date of research paper submission is July 15, 2021.

Measuring the Severity of Fungi Caused Disease on Leaves using Triangular Thresholding Method

Dominic Asamoah, Richard Marfo, Stephen Opoku Oppong. Published in Image Pprocessing

International Journal of Applied Information Systems
Year of Publication: 2017
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Dominic Asamoah, Richard Marfo, Stephen Opoku Oppong
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  1. Dominic Asamoah, Richard Marfo and Stephen Opoku Oppong. Measuring the Severity of Fungi Caused Disease on Leaves using Triangular Thresholding Method. International Journal of Applied Information Systems 12(1):24-32, April 2017. URL, DOI BibTeX

    	author = "Dominic Asamoah and Richard Marfo and Stephen Opoku Oppong",
    	title = "Measuring the Severity of Fungi Caused Disease on Leaves using Triangular Thresholding Method",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "April 2017",
    	volume = 12,
    	number = 1,
    	month = "Apr",
    	year = 2017,
    	issn = "2249-0868",
    	pages = "24-32",
    	url = "",
    	doi = "10.5120/ijais2017451668",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"


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.


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Segmentation, Thresholding, Image Acquisition, Triangular Thresholding, Leaf Disease