Attention embedded residual CNN for disease detection in tomato leaves
Automation in plant disease detection and diagnosis is one of the challenging research areas that has gained significant attention in the agricultural sector. Traditional disease detection methods rely on extracting handcrafted features from the acquired images to identify the type of infection. Als...
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Published in | Applied soft computing Vol. 86; p. 105933 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.01.2020
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Subjects | |
Online Access | Get full text |
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