International Journal of Scientific Research and Engineering Development

International Journal of Scientific Research and Engineering Development


( International Peer Reviewed Open Access Journal ) ISSN [ Online ] : 2581 - 7175

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Quantitative and Qualitative Analysis of Plant Leaf Disease



    International Journal of Scientific Research and Engineering Development (IJSRED)

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Published Issue : Volume-3 Issue-5
Year of Publication : 2020
Unique Identification Number : IJSRED-V3I5P27
Authors : Sugantha.H, Dr.D.Jeyakumari, R.Kannan


Abstract :

Plant disease detection is very important because agriculture is the backbone of the country like India.Crops and plantations get destroyed mainly due to two major reasons, first reason is destruction by natural calamities and second reason is the destruction by the pathogens such as viral, bacterial and fungal. Through naked eye farmers could not detect the type of plant disease. To overcome this a technique is developed in which plant disease is detected using image processing technique. Disease detection begins with image acquisition. The input image is then converted into gray image by the library function. This is followed by filtering where median filter is used to remove the noise and smoothening of the image. The next process is feature extraction done with GLCM. K-means clustering and GLCM algorithm would generate the features from the images. This is proceeded with enhancement. Here adaptive histogram equalization is involved. Then segmentation is performed based on some common properties of the objects present in an image like color, texture and, shape etc. Finally, the disease and area of the affected region in the leaf is found.