ViTaL: An Advanced Framework for Automated Plant Disease Identification in Leaf Images Using Vision Transformers and Linear Projection For Feature Reduction

arXiv:2402.17424v1 Announce Type: new
Abstract: Our paper introduces a robust framework for the automated identification of diseases in plant leaf images. The framework incorporates several key stages to enhance disease recognition accuracy. In the pre-processing phase, a thumbnail resizing technique is employed to resize images, minimizing the loss of critical image details while ensuring computational efficiency. Normalization procedures are applied to standardize image data before feature extraction. Feature extraction is facilitated through a novel framework built upon Vision Transformers, a …

abstract accuracy advanced arxiv automated cs.cv disease diseases feature framework identification images key linear paper pre-processing processing projection recognition robust transformers type vision vision transformers vital