Fungal Disease Detection of Lotus Leaf Using Digital Image Processing
Keywords:
Digital Image Processing, Lotus leaf, Fungal diseases, Segmentation for Thresholding, Edge detectionAbstract
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.
References
Aniket Gaikwad, Azharuddin Inamdar, Vikas Behera,. ""Lung cancer detection using digital Image processing On CT scan Images",." International Research Journal of Engineering and Technology(IRJET), (Volume: 03 Issue: 04 | Apr-2016).
Komal Bodkhe,Nisha Thakur,Shraddha Deshmukh . "Analysis of Fungus in Plant Using Image Processing Techniques ." International Journal of Recent Research in Mathematics Computer Science and Information Technology (Vol. 2, Issue 1, pp: (12-18), Month: April 2015 – September 2015).
Rajneet Kaur,Miss. Manjeet Kaur. "A Brief Review on Plant Disease Detection using in Image Processing." International Journal of Computer Science and Mobile Computing (IJCSMC, Vol. 6, Issue. 2, February 2017, pg.101–106).
SowmyaShree.N,Megha.S,Vidhya.K. "Image Processing System for Plant Disease Identification byUsing FCM-Clustering Technique." International Journal of Advance Research, Ideas and Innovations in Technology(Volume3, Issue2) (n.d.).
Sufiyan K Shekh, Aniket Baitule,Milind Narethe,Sangappa Mallad,. ""Detection of Leaf Diseases and Monitoring the Agricultural Resources using Android App",." International Journal of Innovative Research in Computerand Communication Engineering, ((An ISO 3297: 2007 Certified Organization)Vol. 3, Issue 10, October 2015).
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
