A few-shot learning approach based on Brownian distance covariance for plant disease classification
Abstract The classification of plant diseases poses a significant challenge in smart agriculture. Most of the few-shot learning methods for classifying plant diseases currently rely on metrics like Euclidean distance or cosine similarity to model marginal feature distributions. However, these metric...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer
2025-12-01
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| Serie: | Journal of King Saud University: Computer and Information Sciences |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/s44443-025-00406-7 |
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