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A Novel Machine Vision System for Identification of Yellow Rust in Wheat Plants
Amina Bhaika
Pages - 430 - 435     |    Revised - 30-11-2012     |    Published - 30-11-2013
Volume - 7   Issue - 5    |    Publication Date - November 2013  Table of Contents
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KEYWORDS
Yellow Rust, Leaf Morphology, Perimeter, Segmentation, Leaf Area.
ABSTRACT
The crop of wheat is very often infected by a disease that leaves spots of brown, gray or off-white colors on the wheat plants. Scientifically, this disease is known as Yellow Rust. It’s a kind of fungus that often kills young seedlings. The fungus spreads by air. Therefore, it is important to monitor the leaf at regular intervals so as to keep track on quality of growing wheat crop. In the presented paper, a novel machine vision system has been proposed that visual inspects the leaves of the plants and based on spots on leaves, it determines the nature of disease and its depth into the crop. The size of the fungus, color depth and location and locus of the fungus on leaves give an accurate determination of crop quality. In the presented work, the image of the crop leaves are taken by a good quality color camera and processed for getting a gray colored and segmented image depending upon the nature and size of the fungus. A criterion is set for acceptable and rejects crop quality based on the fungus level.
CITED BY (1)  
1 Jaganathan, V., & Arumugam, S. (2014). Powdery Mildew Disease Identification in Karpoori Variety of Betel vine Plants Using Histogram Based Techniques. Advances in Image and Video Processing, 2(5), 63-75.
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Miss Amina Bhaika
ECE Deptt, DIET, Kharar, Punjab - India
amina_bhaika@hotmail.com