Hybrid CNN and Transformer-Based Sequential Learning Techniques for Plant Disease Classification

Plant diseases have important consequences for livelihoods and economies, both on local and global scales, whereby the spread of plant pathogens can lead to high levels of damage to agricultural productivity. In this regard, deep learning (DL) has evolved as a promising remedy. Nevertheless, the lev...

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Bibliographic Details
Main Authors:	Anuruk Prommakhot, Jakkrit Onshaunjit, Wichian Ooppakaew, Grianggai Samseemoung, Jakkree Srinonchat
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Series:	IEEE Access
Subjects:	Two-stream network transformer network convolutional neural networks sequential learning techniques plant disease classification
Online Access:	https://ieeexplore.ieee.org/document/11072169/
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Hybrid CNN and Transformer-Based Sequential Learning Techniques for Plant Disease Classification

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