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Multi-feature machine learning model for automatic segmentation of green fractional vegetation cover for high-throughput field phenotyping
BACKGROUND: Accurately segmenting vegetation from the background within digital images is both a fundamental and a challenging task in phenotyping. The performance of traditional methods is satisfactory in homogeneous environments, however, performance decreases when applied to images acquired in dy...
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| Publicado en: | Plant Methods |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
BioMed Central
2017
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5696775/ https://ncbi.nlm.nih.gov/pubmed/29201134 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13007-017-0253-8 |
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