Augmentation strategies for plant disease classification
This study explores the effectiveness of various data augmentation strategies for enhancing plant disease classification using the LeafGAN model. We propose a novel approach that integrates leaf region and disease symptom masking to improve the quality of synthetic images and, consequently, the perf...
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2025
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| Online Access: | http://eprints.utar.edu.my/7178/1/fyp_CN_2025_CWJ.pdf http://eprints.utar.edu.my/7178/ |
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