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A hybrid attention-enhanced DenseNet neural network model based on improved U-Net for rice leaf disease identification
Rice is a necessity for billions of people in the world, and rice disease control has been a major focus of research in the agricultural field. In this study, a new attention-enhanced DenseNet neural network model is proposed, which includes a lesion feature extractor by region of interest (ROI) ext...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9623092/ https://www.ncbi.nlm.nih.gov/pubmed/36330248 http://dx.doi.org/10.3389/fpls.2022.922809 |