Open AccessDifferent Plant Disease Detection and Pest Detection Techniques Using Image Processing
Author(s) -
Nanda Barthare
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.40003
Subject(s) - agriculture , productivity , pest analysis , image processing , plant disease , agricultural engineering , agricultural productivity , production (economics) , computer science , microbiology and biotechnology , risk analysis (engineering) , business , image (mathematics) , artificial intelligence , engineering , biology , economics , economic growth , marketing , ecology , macroeconomics
In India, agriculture is a significant industry. Our Indian economy is also heavily reliant on agriculture; given that agriculture employs near about 70% of the population, it is critical to boost crop/plant productivity. Farmers have struggled to achieve higher productivity and better market prices due to many sorts of crop diseases. As a result, early detection of plant diseases becomes an essential strategy for avoiding losses in an agricultural production system. The disease's symptoms are mostly noticeable on leaves. It's difficult to keep track of each plant manually across a large area. As a result, image processing techniques are used to observe and diagnose plant diseases, which may be a better option for detecting diseases fast and accurately. This paper provides the review of different plant disease and pest control techniques using image processing in the recent years. Keywords: Image Processing, Agricultural, Disease Techniques, Pest Control.