LeafNST: an improved data augmentation method for classification of plant disease using object-based neural style transfer
Abstract Plant diseases significantly threaten global agriculture, impacting crop yield and food security. Nearly 30% of the crop yield is lost due to plant diseases. Efficient identification and classification of plant diseases through computer vision techniques have become imperative for timely in...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2024-07-01
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| Series: | Discover Artificial Intelligence |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44163-024-00150-3 |