Crop Disease Identification by Fusing Multiscale Convolution and Vision Transformer

Crop Disease Identification by Fusing Multiscale Convolution and Vision Transformer

With the development of smart agriculture, deep learning is playing an increasingly important role in crop disease recognition. The existing crop disease recognition models are mainly based on convolutional neural networks (CNN). Although traditional CNN models have excellent performance in modeling...

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Bibliographic Details
Main Authors: Dingju Zhu, Jianbin Tan, Chao Wu, KaiLeung Yung, Andrew W. H. Ip
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
convolutional neural network
vision transformer
self-attention mechanism
image classification
crop disease recognition
Online Access:https://www.mdpi.com/1424-8220/23/13/6015

Internet

https://www.mdpi.com/1424-8220/23/13/6015

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