An optimized capsule neural networks for tomato leaf disease classification

Plant diseases have a significant impact on leaves, with each disease exhibiting specific spots characterized by unique colors and locations. Therefore, it is crucial to develop a method for detecting these diseases based on spot shape, color, and location within the leaves. While Convolutional Neur...

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Veröffentlicht in:	EURASIP journal on image and video processing Jg. 2024; H. 1; S. 2 - 21
Hauptverfasser:	Abouelmagd, Lobna M., Shams, Mahmoud Y., Marie, Hanaa Salem, Hassanien, Aboul Ella
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 08.01.2024 Springer Nature B.V SpringerOpen
Schlagworte:	Adam optimizer Artificial neural networks Biometrics Capsule Neural Networks Classification Color Computer vision Convolutional Neural Networks Data augmentation Deep learning Drone Engineering Image enhancement Image Processing and Computer Vision Machine learning Medical imaging Neural networks Orientation relationships Pattern Recognition Plant diseases Signal,Image and Speech Processing State-of-the-art reviews Tomato leaf diseases Tomatoes Adam optimizer Drone Convolutional Neural Networks Capsule Neural Networks Tomato leaf diseases
ISSN:	1687-5281, 1687-5176, 1687-5281
Online-Zugang:	Volltext
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