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From Laboratory to Field: Unsupervised Domain Adaptation for Plant Disease Recognition in the Wild
Plant disease recognition is of vital importance to monitor plant development and predicting crop production. However, due to data degradation caused by different conditions of image acquisition, e.g., laboratory vs. field environment, machine learning-based recognition models generated within a spe...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
AAAS
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10059679/ https://www.ncbi.nlm.nih.gov/pubmed/37011278 http://dx.doi.org/10.34133/plantphenomics.0038 |