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...

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Detalles Bibliográficos
Autores principales: Zhang, Qiang, Sun, Banyong, Cheng, Yaxiong, Li, Xijie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394211/
https://www.ncbi.nlm.nih.gov/pubmed/34444152
http://dx.doi.org/10.3390/ijerph18168404

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