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Bidirectional Encoder representation from Image Transformers for recognizing sunflower diseases from photographs

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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Autors principals: Baboshina, V. A., Бабошина, В. А., Lyakhov, P. A., Ляхов, П. А., Lyakhova, U. A., Ляхова, У. А., Pismennyy, V. A., Письменный, В. А.
Format: Статья
Idioma:English
Publicat: Institution of Russian Academy of Sciences 2025
Matèries:
Bidirectional encoder
Image processing
Image transformer
Neural network recognition
Sunflower diseases
Accés en línia:https://dspace.ncfu.ru/handle/123456789/30407
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https://dspace.ncfu.ru/handle/123456789/30407

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