Open AccessDeep Learning Based Automated Tomato Leaf Disease Detection and Classification by Emperor Penguin Optimizer
Author(s) -
M Monica,
K. Mohamedasif,
S. Tharunkumar,
A. Thirunavukkurasu,
S. Vinoth
Publication year - 2022
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-3006
Subject(s) - misfortune , emperor , plant disease , deep learning , artificial intelligence , classifier (uml) , computer science , biology , microbiology and biotechnology , ecology , perspective (graphical)
In most rural nations, Ranchers face an incredible misfortune consistently because of infections in crops. In this way, early recognition of tomato plant infections has accomplished an extraordinary worry of the scientists. In this paper a profound convolutional brain network model is utilized to perceive unfortunate plants from the solid plants and to characterize the tomato plant illnesses. We have utilized VGG16 profound CNN classifier to perceive unfortunate plants and their illnesses from.