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Identification of Apple Leaf Diseases by Improved Deep Convolutional Neural Networks With an Attention Mechanism
The accurate identification of apple leaf diseases is of great significance for controlling the spread of diseases and ensuring the healthy and stable development of the apple industry. In order to improve detection accuracy and efficiency, a deep learning model, which is called the Coordination Att...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8505739/ https://www.ncbi.nlm.nih.gov/pubmed/34650580 http://dx.doi.org/10.3389/fpls.2021.723294 |