Using a Hybrid Convolutional Neural Network with a Transformer Model for Tomato Leaf Disease Detection

Diseases of tomato leaves can seriously damage crop yield and financial rewards. The timely and accurate detection of tomato diseases is a major challenge in agriculture. Hence, the early and accurate diagnosis of tomato diseases is crucial. The emergence of deep learning has dramatically helped in...

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Bibliographic Details

Published in:	Agronomy
Main Authors:	Zhichao Chen, Guoqiang Wang, Tao Lv, Xu Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2024-03-01
Subjects:	Transformer deep learning tomato disease cycle-consistent generative adversarial network
Online Access:	https://www.mdpi.com/2073-4395/14/4/673