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Embracing limited and imperfect training datasets: opportunities and challenges in plant disease recognition using deep learning
Recent advancements in deep learning have brought significant improvements to plant disease recognition. However, achieving satisfactory performance often requires high-quality training datasets, which are challenging and expensive to collect. Consequently, the practical application of current deep...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557492/ https://www.ncbi.nlm.nih.gov/pubmed/37810377 http://dx.doi.org/10.3389/fpls.2023.1225409 |