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Overcoming field variability: unsupervised domain adaptation for enhanced crop-weed recognition in diverse farmlands
Recent developments in deep learning-based automatic weeding systems have shown promise for unmanned weed eradication. However, accurately distinguishing between crops and weeds in varying field conditions remains a challenge for these systems, as performance deteriorates when applied to new or diff...
| 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/PMC10445656/ https://www.ncbi.nlm.nih.gov/pubmed/37621880 http://dx.doi.org/10.3389/fpls.2023.1234616 |