An Enhanced Wheat Stripe Rust Segmentation Approach Using Vision Transformer Model

An Enhanced Wheat Stripe Rust Segmentation Approach Using Vision Transformer Model

Abstract Worldwide, the wheat industry encounters major obstacles caused by stripe rust disease, triggered by the fungus Puccinia striiformis. This disease results in considerable losses of wheat crops and has significant economic repercussions. Accurate detection of crop diseases is vital for susta...

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Bibliographic Details
Main Authors: Nosheen Usman, Tauqir Ahmad, Faiza Iqbal, Ayesha Altaf, Nagwan Abdel Samee, Manal Abdullah Alohali, Imran Ashraf
Format: Article
Language:English
Published: Springer 2025-06-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Wheat stripe rust segmentation
Vision transformer (ViT)
Transformed performance
Crop disease
Multispectral images
Online Access:https://doi.org/10.1007/s44196-025-00873-w
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https://doi.org/10.1007/s44196-025-00873-w

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