Open AccessImplementation of Digital Signal Processing for Monitoring Plant Health
Author(s) -
Rashmi Mishra*,
Surya Deo Chaudhary,
Pankaj Tyagi
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l2610.1081219
Subject(s) - computer science , image processing , upload , android application , digital image processing , identification (biology) , android (operating system) , artificial intelligence , agricultural engineering , microbiology and biotechnology , image (mathematics) , engineering , biology , botany , world wide web , operating system
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.