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COMPREHENSIVE SURVEY ON VARIOUS DISEASE DETECTION SYSTEM IN PLANTS USING ARTIFICIAL INTELLIGENCE BASED MODELS
Abstract
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New diseases are discovered day after day in recent years, not only in people, but also in plants. The identification of plant diseases (through the use of digital image processing) is essential for the detection of diseases which assist agriculture, because diseases in plants are becoming quite prevalent. This article explains briefly how image processing is utilised by a number of processes to identify diseases in plants. The method for segmentation in this article is k-means clustering and GLCM extraction. Using SVM is done after extraction classification.

Authors
M Sangeetha
Cochin University of Science and Technology, India

Keywords
Disease Detection, Artificial Intelligence, Digital Image Processing, SVM
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Published By :
ICTACT
Published In :
ICTACT Journal on Data Science and Machine Learning
( Volume: 2 , Issue: 3 , Pages: 214-217 )
Date of Publication :
June 2021
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