Improving wheat leaf disease classification : Evaluating augmentation strategies and CNN-Based models with limited dataset
Global food security is seriously threatened by wheat leaf disease, which makes effective and precise disease detection and classification techniques necessary. For efficient disease control and the best possible crop health, timely identification and precise classification are essential. However, t...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/41594/1/Improving%20wheat%20leaf%20disease%20classification_Evaluating%20augmentation.pdf http://umpir.ump.edu.my/id/eprint/41594/ https://doi.org/10.1109/ACCESS.2024.3397570 https://doi.org/10.1109/ACCESS.2024.3397570 |
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