Tomato crop disease classification using pre-trained deep learning algorithm

The wide scale prevalence of diseases in tomato crop affects the production quality and quantity. In order to counteract the problem early diagnosis of diseases using a fast reliable nondestructive method will benefit the farmers. In this study images of tomato leaves (6 diseases and a healthy class...

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Bibliographic Details

Published in:	Procedia computer science Vol. 133; pp. 1040 - 1047
Main Authors:	Rangarajan, Aravind Krishnaswamy, Purushothaman, Raja, Ramesh, Aniirudh
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 2018
Subjects:	AlexNet bias learning rate deep learning minibatch size Tomato disease recoginition VGG16 net weight learning rate deep learning minibatch size bias learning rate weight learning rate Tomato disease recoginition AlexNet VGG16 net
ISSN:	1877-0509, 1877-0509
Online Access:	Get full text
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