Efficient identification and classification of apple leaf diseases using lightweight vision transformer (ViT)

Abstract The timely diagnosis and identification of apple leaf diseases is essential to prevent the spread of diseases and ensure the sound development of the apple industry. Convolutional neural networks (CNNs) have achieved phenomenal success in the area of leaf disease detection, which can greatl...

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Bibliographic Details
Published in:Discover Sustainability
Main Authors: Wasi Ullah, Kashif Javed, Muhammad Attique Khan, Faisal Yousef Alghayadh, Mohammed Wasim Bhatt, Imad Saud Al Naimi, Isaac Ofori
Format: Article
Language:English
Published: Springer 2024-06-01
Subjects:
Vision transformer
Apple leaf disease detection
Self-attention
Online Access:https://doi.org/10.1007/s43621-024-00307-1

Internet

https://doi.org/10.1007/s43621-024-00307-1

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