프로세싱 및 특징 감지를 위한 ViTaL 프레임워크
提案されたフレームワークは、植物の葉画像における病気の自動識別を向上させる。
The author introduces a robust framework for automated plant disease identification using Vision Transformers and linear projection for feature reduction. The main thesis is to enhance disease recognition accuracy through innovative image analysis techniques.