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Semi-supervised few-shot learning approach for plant diseases recognition
BACKGROUND: Learning from a few samples to automatically recognize the plant leaf diseases is an attractive and promising study to protect the agricultural yield and quality. The existing few-shot classification studies in agriculture are mainly based on supervised learning schemes, ignoring unlabel...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8237441/ https://www.ncbi.nlm.nih.gov/pubmed/34176505 http://dx.doi.org/10.1186/s13007-021-00770-1 |