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Fine-grained weed recognition using Swin Transformer and two-stage transfer learning
Weeding is very critical for agriculture due to its importance for reducing crop yield loss. Accurate recognition of weed species is one of the major challenges for achieving automatic and precise weeding. To improve the recognition performance of weeds and crops with similar visual characteristics,...
| 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/PMC10040655/ https://www.ncbi.nlm.nih.gov/pubmed/36993854 http://dx.doi.org/10.3389/fpls.2023.1134932 |