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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Detalles Bibliográficos
Autores principales: Zhu, Dingju, Tan, Jianbin, Wu, Chao, Yung, KaiLeung, Ip, Andrew W. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346931/
https://www.ncbi.nlm.nih.gov/pubmed/37447864
http://dx.doi.org/10.3390/s23136015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346931/
https://www.ncbi.nlm.nih.gov/pubmed/37447864
http://dx.doi.org/10.3390/s23136015

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