Open AccessPrediction of Brinjal Plant Disease Using Support Vector Machine and Convolutional Neural Network Algorithm Based on Deep Learning
Author(s) -
A. Venkataramana,
K. Suresh Kumar,
N. Suganthi,
R. Rajeswari
Publication year - 2022
Publication title -
journal of mobile multimedia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.229
H-Index - 12
eISSN - 1550-4654
pISSN - 1550-4646
DOI - 10.13052/jmm1550-4646.18315
Subject(s) - support vector machine , convolutional neural network , artificial intelligence , computer science , artificial neural network , deep learning , plant disease , machine learning , pattern recognition (psychology) , algorithm , microbiology and biotechnology , biology
Plant pathogens prediction is the prerequisite for timely and productive control of plant pathogens within complicated environments. However, the white mold is a complicated disease in a brinjal plant. Hence, to vanquish these difficulties a novel Deep Learning Integration (DLI) Techniques has been proposed. In Proposed system, classification is carried out by Support Vector Machine (SVM) and prediction is carried out by Convolutional Neural Network (CNN) Algorithm to predict the plant illness in Brinjal with high accuracy of 99.4%.