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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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書誌詳細
主要な著者: Baboshina, V. A., Бабошина, В. А., Lyakhov, P. A., Ляхов, П. А., Lyakhova, U. A., Ляхова, У. А., Pismennyy, V. A., Письменный, В. А.
フォーマット: Статья
言語:English
出版事項: Institution of Russian Academy of Sciences 2025
主題:
Bidirectional encoder
Image processing
Image transformer
Neural network recognition
Sunflower diseases
オンライン･アクセス:https://dspace.ncfu.ru/handle/123456789/30407
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https://dspace.ncfu.ru/handle/123456789/30407

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