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Unsupervised Bayesian learning for rice panicle segmentation with UAV images
BACKGROUND: In this paper, an unsupervised Bayesian learning method is proposed to perform rice panicle segmentation with optical images taken by unmanned aerial vehicles (UAV) over paddy fields. Unlike existing supervised learning methods that require a large amount of labeled training data, the un...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7035759/ https://www.ncbi.nlm.nih.gov/pubmed/32123536 http://dx.doi.org/10.1186/s13007-020-00567-8 |