Confidence-Aware Multi-Model Image Classification for Early Disease Detection in Plants
Digital agriculture is essential for enhancing crop yields by integrating modern digital methods to prevent and manage crop diseases. To address this, a deep learning-based Confidence-Aware Multi-Model Image Classification (CAMIC) framework has been developed. CAMIC incorporates FD-Net (Foliar Disea...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2025-09-01
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| Series: | Acta Technologica Agriculturae |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/ata-2025-0020 |
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