ECVNet: A Fusion Network of Efficient Convolutional Neural Networks and Visual Transformers for Tomato Leaf Disease Identification

ECVNet: A Fusion Network of Efficient Convolutional Neural Networks and Visual Transformers for Tomato Leaf Disease Identification

Tomato leaf diseases pose a significant threat to plant growth and productivity, necessitating the accurate identification and timely management of these issues. Existing models for tomato leaf disease recognition can primarily be categorized into Convolutional Neural Networks (CNNs) and Visual Tran...

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Bibliographic Details
Main Authors: Fendong Zou, Jing Hua, Yuanhao Zhu, Jize Deng, Ruimin He
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agronomy
Subjects:
deep learning
attention mechanism
convolutional neural networks
disease recognition
Online Access:https://www.mdpi.com/2073-4395/14/12/2985
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