Spatio-temporal quantification of differential growth processes in root growth zones based on a novel combination of image sequence processing and refined concepts describing curvature production.
By A. Chavarría-Krauser, K. Nagel, Klaus Palme, U. Schurr, Achim Walter, Hanno Scharr. 2008
65 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Molecular Biology, Plant Science, AI for Physical Sciences
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Massimo Minervini
- Sotirios A. Tsaftaris
- Hanno Scharr
- Andreas Fischbach
- Christian Klukas
- Jean-Michel Pape
- Mario Valerio Giuffrida
- Ian Stavness
In Molecular Biology
In Plant Science
- Massimo Minervini
- Sotirios A. Tsaftaris
- Andreas Fischbach
- Hanno Scharr
- Ian Stavness
- Jordan R. Ubbens
- Christian Klukas
- Jean-Michel Pape
Citations in the corpus
- Finely-grained annotated datasets for image-based plant phenotyping (2016, background): “Non-invasive plant investigations are performed using various modalities with spatial scales varying from the microscopic to large outdoor fields (Chavarria-Krauser et al., 2008; Bergstr¨asser et al., 2015; M¨uller-Linow et al., 2015).”