Lightweight detection of cotton leaf diseases using StyleGAN2-ADA and decoupled focused self-attention
Abstract In cotton cultivation, diseases such as leaf spot, helminthosporium leaf spot, fusarium wilt, boll gray mold, and leaf curl significantly affect yield and quality. Current models face challenges like diverse disease traits, variable stages, small target detection, uneven lighting, and occlu...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-05-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44443-025-00054-x |
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