Development of a handheld GPU-assisted DSC-TransNet model for the real-time classification of plant leaf disease using deep learning approach

Development of a handheld GPU-assisted DSC-TransNet model for the real-time classification of plant leaf disease using deep learning approach

Abstract In agriculture, promptly and accurately identifying leaf diseases is crucial for sustainable crop production. To address this requirement, this research introduces a hybrid deep learning model that combines the visual geometric group version 19 (VGG19) architecture features with the transfo...

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Bibliographic Details
Main Authors: Midhun P. Mathew, Sudheep Elayidom, V. P. Jagathy Raj, K. M. Abubeker
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Agriculture
Leaf diseases
Transformer encoder
Depthwise separable convolution
Deep learning
GPU
Online Access:https://doi.org/10.1038/s41598-024-82629-8
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https://doi.org/10.1038/s41598-024-82629-8

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