Dynamics of seedling growth acclimation towards altered light conditions can be quantified via GROWSCREEN: a setup and procedure designed for rapid optical phenotyping of different plant species.

By Achim Walter, Hanno Scharr, F. Gilmer, R. Zierer, K. Nagel, M. Ernst, A. Wiese, O. Virnich, M. Christ, Beate Uhlig and 2 more. 2007

182 citations recorded by the source corpus.

Subfields: Plant Science, Computational Biology & Bioinformatics

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Citations in the corpus

Finely-grained annotated datasets for image-based plant phenotyping (2016, methodology): “In the last decades several approaches have been proposed to measure visual traits of plants in an automated fashion (Granier et al., 2006; Walter et al., 2007; Jansen et al., 2009; Nagel et al., 2012) together with customized image processing pipelines to analyze aspects of the acquired image data…”
Field phenotyping system for the assessment of potato late blight resistance using RGB imagery from an unmanned aerial vehicle (2016, background): “Many studies of plant phenomics have developed useful diagnostic tools regarding plant information (Dhondt, Wuyts, & Inze, 2013; Golzarian et al., 2011; Granier et al., 2006; Jansen et al., 2009; Rajendran, Tester,& Roy, 2009; Walter et al., 2007).”
Plant phenotyping: from bean weighing to image analysis (2015, methodology): “Such methods have been successfully applied in the laboratory to assess the performance of Arabidopsis [68], tobacco [69] or cereal grain crops [11,12].”
Image-based plant phenotyping with incremental learning and active contours (2014, background): “, 2010; Tsaftaris and Noutsos, 2009) to a few thousands (e.g., Granier et al., 2006; Pereyra-Irujo et al., 2012; van der Heijden et al., 2012; Walter et al., 2007), or to hundreds of thousands of dollars (e.”
HTPheno: An image analysis pipeline for high-throughput plant phenotyping (2011, methodology): “The Research Center Jülich analyses phenotypes of different plant species with the in-house GROWSCREEN system [2].”
Leaf segmentation in plant phenotyping: a collation study (2015, background): “While previously such phenotypes were annotated manually by experts, recently image-based nondestructive approaches are gaining attention among plant researchers to measure and study visual phenotypes of plants [24,28,41,55].”
GROWSCREEN-Rhizo is a novel phenotyping robot enabling simultaneous measurements of root and shoot growth for plants grown in soil-filled rhizotrons. (2012, background): “…plants, like Arabidopsis or tobacco seedlings that have 25 leaves which spread out almost horizontally at midday, projected leaf area development can 26 be quantified automatically by acquiring images of leaves from the top view of the plants 27 (Granier et al. 2005; Walter et al. 2007).”
segmentation in plant phenotyping: a collation study. Machine Vision and Applications (2017, background): “While previously such phenotypes were annotated manually by experts, recently image-based nondestructive approaches are gaining attention among plant researchers to measure and study visual phenotypes of plants [24,28,41,55].”
Crop Phenomics and High-throughput Phenotyping: Past Decades, Current Challenges and Future Perspectives. (2020, unknown): “GROWSCREEN was established to quantify the dynamics of seedling growth acclimation (total leaf area, relative growth rate, and root area) under altered light conditions (Walter et al., 2007).”
Annotated Image Datasets of Rosette Plants (2014, background): “Several laboratories developed customized image processing pipelines to analyze the image data acquired during experiments [2, 4, 5, 6].”
Dissecting the Phenotypic Components of Crop Plant Growth and Drought Responses Based on High-Throughput Image Analysis[W][OPEN] (2014, background): “…plant phenotyping platforms have been developed recently and are applied to investigate plant performance under different environments (Granier et al., 2006; Walter et al., 2007; Biskup et al., 2009; Jansen et al., 2009; Arvidsson et al., 2011; Golzarian et al., 2011; Nagel et al., 2012).”
Rosette Tracker: An Open Source Image Analysis Tool for Automatic Quantification of Genotype Effects1[C][W] (2012, methodology): “Another important disadvantage is that neither Growscreen, Growscreen Fluoro, nor Lemnagrid is publicly available.”
3-D Histogram-Based Segmentation and Leaf Detection for Rosette Plants (2014, background): “There are a various number of applications which support fully automated or semi-automated plant image analysis, especially for rosette plants, as described in [1],[2],[3],[4],[5] and [6].”