Cargando…
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...
Autores principales: | Yu, Kang, Kirchgessner, Norbert, Grieder, Christoph, Walter, Achim, Hund, Andreas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
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 |
Ejemplares similares
-
Terrestrial 3D laser scanning to track the increase in canopy height of both monocot and dicot crop species under field conditions
por: Friedli, Michael, et al.
Publicado: (2016) -
Rhizoslides: paper-based growth system for non-destructive, high throughput phenotyping of root development by means of image analysis
por: Le Marié, Chantal, et al.
Publicado: (2014) -
Remote, aerial phenotyping of maize traits with a mobile multi-sensor approach
por: Liebisch, Frank, et al.
Publicado: (2015) -
Combining High-Resolution Imaging, Deep Learning, and Dynamic Modeling to Separate Disease and Senescence in Wheat Canopies
por: Anderegg, Jonas, et al.
Publicado: (2023) -
Repeated Multiview Imaging for Estimating Seedling Tiller Counts of Wheat Genotypes Using Drones
por: Roth, Lukas, et al.
Publicado: (2020)