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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |