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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Bibliographic Details
Main Authors: V.A. Baboshina, P.A. Lyakhov, U.A. Lyakhova, V.A. Pismennyy
Format: Article
Language:English
Published: Samara National Research University 2025-06-01
Series:Компьютерная оптика
Subjects:
image transformer
neural network recognition
image processing
sunflower diseases
bidirectional encoder
Online Access:https://computeroptics.ru/KO/Annot/KO49-3/490309.html
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