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Residual Self-Calibration and Self-Attention Aggregation Network for Crop Disease Recognition
The correct diagnosis and recognition of crop diseases play an important role in ensuring crop yields and preventing food safety. The existing methods for crop disease recognition mainly focus on accuracy while ignoring the algorithm’s robustness. In practice, the acquired images are often accompani...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394211/ https://www.ncbi.nlm.nih.gov/pubmed/34444152 http://dx.doi.org/10.3390/ijerph18168404 |