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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Detalles Bibliográficos
Autores principales: Sadeghi-Tehran, Pouria, Virlet, Nicolas, Sabermanesh, Kasra, Hawkesford, Malcolm J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5696775/
https://www.ncbi.nlm.nih.gov/pubmed/29201134
http://dx.doi.org/10.1186/s13007-017-0253-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5696775/
https://www.ncbi.nlm.nih.gov/pubmed/29201134
http://dx.doi.org/10.1186/s13007-017-0253-8

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