Fungal Disease Detection of Lotus Leaf Using Digital Image Processing

Vidya S. Barhate¹ , Gouri M. Patil² , Sweta G. Sonawane³

Section:Research Paper, Product Type: Journal Paper
Vol.06 , Special Issue.01 , pp.81-83, Jan-2018

Online published on Jan 31, 2018

Copyright © Vidya S. Barhate, Gouri M. Patil, Sweta G. Sonawane . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.  

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Abstract :
Research in Botany grows day by day due to various new technologies. Botanical research desires to identify prevalence and the clinical patterns of superficial fungal infections among different plants. Detection of fungal disease is the most interesting research area of researches in early stages which one helps to survive the medicinal, beautiful, heavenly appearance plants and flowers. As the leaves provides the food to all over the plants, if it is possible to detect and cure the disease of leaf it will result the healthy plant and flowers. The Digital Image Processing - one of the new computer technologiescan be used to detect fungal disease of lotus leaf. For this research colored image of lotus leaf is used to detect fungal disease. Various image processing techniques like gray scale, thresholding and edge detection are applied on colored lotus leaf image. The resultant images detect the each and every cell infected by fungal as well as shows the intensity of fungal infection.

Key-Words / Index Term :
Digital Image Processing, Lotus leaf, Fungal diseases, Segmentation for Thresholding, Edge detection

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