An image analysis pipeline for automated classification of imaging light conditions and for quantification of wheat canopy cover time series in field phenotyping

BACKGROUND: Robust segmentation of canopy cover (CC) from large amounts of images taken under different illumination/light conditions in the field is essential for high throughput field phenotyping (HTFP). We attempted to address this challenge by evaluating different vegetation indices and segmenta...

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Detalles Bibliográficos
Autores principales: Yu, Kang, Kirchgessner, Norbert, Grieder, Christoph, Walter, Achim, Hund, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5361853/
https://www.ncbi.nlm.nih.gov/pubmed/28344634
http://dx.doi.org/10.1186/s13007-017-0168-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5361853/
https://www.ncbi.nlm.nih.gov/pubmed/28344634
http://dx.doi.org/10.1186/s13007-017-0168-4

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