Performance prediction of tomato leaf disease by a series of parallel convolutional neural networks

Performance prediction of tomato leaf disease by a series of parallel convolutional neural networks

We present a new approach of classification decision of tomato (Solanum lycopersicum) leaf disease based on the summarization of the output from a series of parallel convolutional neural networks with different configurations. The use of Swish, LeakyReLU-Swish, ReLU-Swish, Elu-Swish, and ClippedReLU...

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Bibliographic Details
Main Authors:	M.P. Islam, K. Hatou, T. Aihara, S. Seno, S. Kirino, S. Okamoto
Format:	Article
Language:	English
Published:	Elsevier 2022-12-01
Series:	Smart Agricultural Technology
Subjects:	Plant disease Classification Deep learning CNN architecture
Online Access:	http://www.sciencedirect.com/science/article/pii/S2772375522000193

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