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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Vydané v:	EURASIP journal on image and video processing Ročník 2024; číslo 1; s. 2 - 21
Hlavní autori:	Abouelmagd, Lobna M., Shams, Mahmoud Y., Marie, Hanaa Salem, Hassanien, Aboul Ella
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 08.01.2024 Springer Nature B.V SpringerOpen
Predmet:	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
On-line prístup:	Získať plný text
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