Implementation of Digital Signal Processing for Monitoring Plant Health
Rashmi Mishra1, Surya Deo Chaudhary2, Pankaj Tyagi3

1Dr. Rashmi Mishra*, Department of Biotechnology, Noida Institute of Engineering and Technology.
2Surya Deo Chaudhary, Electronics and Communication Engineering, Noida Institute of Engineering and Technology.
3Pankaj Tyagi, Department of Biotechnology, Noida Institute of Engineering and Technology.

Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 3480-3482 | Volume-8 Issue-12, October 2019. | Retrieval Number: L26101081219/2019©BEIESP | DOI: 10.35940/ijitee.L2610.1081219
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Abstract: The diseases of plants is one of the major reason behind the reduction in the amount and quality of agricultural productivity. Great difficulties are encountered by farmers for the control and diagnosis of diseases of plants. Thus it becomes crucial to detect the diseases of plants during the initial stages for the suitable and timely action in order to avoid further losses. The approach of image processing is followed for detecting the diseases of cashew plants in this project. The image of leaf is uploaded on the system for the identification of cashew disease. A set of algorithms are used in a system for the identification of type of disease. The several processing steps are followed at the image given as input for the detection of disease and results are displayed to the user via android application.
Keywords: Segmentation, Disease, K-mean, SVM, Android.
Scope of the Article: Healthcare Informatics