Vijayaganth V, Naveenkumar M, and Mohan M, Department of CSE, KPR Institute of Engineering and Technology, Coimbatore, India
Online First : 30 December 2020
Publisher Name : IJAICT India Publications, India.
Print ISBN : 978-81-950008-0-7
Online ISBN : 978-81-950008-1-4
Page :464-465
Abstract
The disease in tomato leaves affects the quality and quantity of the crops. To overcome this problem an early diagnosis of diseases will benefit the farmers. This work uses PlantVillage dataset of 9 tomato leaves and fed to AlexNet and VGG16. It focuses on accuracy of the model by using hyperparameters like batch size, learning rate and optimizer.
Keywords
AlexNet, VGG16, minibatch, deep learning.
Cite this article
Vijayaganth V, Naveenkumar M, and Mohan M, “Detection of Tomato Plant Diseases Using Deep Convolutional Neural Network”, Innovations in Information and Communication Technology, pp.464-465, December 2020.
Copyright
© 2020 Vijayaganth V, Naveenkumar M, and Mohan M. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
