Bidirectional Encoder representation from Image Transformers for recognizing sunflower diseases from photographs
This paper proposes a modern system for recognizing sunflower diseases based on Bidirectional Encoder representation from Image Transformers (BEIT). The proposed system is capable of recognizing various sunflower diseases with high accuracy. The presented research results demonstrate the advantages...
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| Главные авторы: | , , , , , , , |
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| Formato: | Статья |
| Idioma: | English |
| Publicado: |
Institution of Russian Academy of Sciences
2025
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| Темы: | |
| Acceso en liña: | https://dspace.ncfu.ru/handle/123456789/30407 |
| Метки: |
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