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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Vydáno v:Plant Methods
Hlavní autoři: Sadeghi-Tehran, Pouria, Virlet, Nicolas, Sabermanesh, Kasra, Hawkesford, Malcolm J.
Médium: Artigo
Jazyk:Inglês
Vydáno: BioMed Central 2017
Témata:
Research
On-line přístup: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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