SPICY: towards automated phenotyping of large pepper plants in the greenhouse.
By G. W. van der Heijden, Yu Song, Graham W. Horgan, G. Polder, A. Dieleman, Marco C. A. M. Bink, A. Palloix, F. V. van Eeuwijk, Chris A. Glasbey. 2012
94 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Plant Science, Robotics & Control
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
- Christian Klukas
- Jean-Michel Pape
- Hanno Scharr
- Andreas Fischbach
- Xi Yin
- Xiaoming Liu
In Plant Science
- Massimo Minervini
- Sotirios A. Tsaftaris
- Hanno Scharr
- Christian Klukas
- Jean-Michel Pape
- Andreas Fischbach
- Xi Yin
- Achim Walter
Citations in the corpus
- Finely-grained annotated datasets for image-based plant phenotyping (2016, methodology): “…al., 2009; Nagel et al., 2012) together with customized image processing pipelines to analyze aspects of the acquired image data (Au-gustin et al., 2015; De Vylder et al., 2012; Hartmann et al., 2011; van der Heijden et al., 2012; Walter et al., 2007; Yin et al., 2014; M¨uller-Linow et al., 2015).”
- Leaf segmentation in plant phenotyping: a collation study (2015, background): “Several specialized algorithms have beendeveloped tomeasurewhole-plant properties andparticularly plant size [6,17,24,29,38,52,54,60].”
- Plant phenotyping: from bean weighing to image analysis (2015, methodology): “Chlorophyll fluorescence has successfully been used in phenotyping studies in the laboratory [51-53] and in the field [54].”
- A Review of Imaging Techniques for Plant Phenotyping (2014, unknown): “Triticale [78]; Pepper [80] Field;”
- segmentation in plant phenotyping: a collation study. Machine Vision and Applications (2017, background): “Several specialized algorithms have been developed to measure whole-plant properties and particularly plant size [6,17,25,27,31,40, 55,61].”
- 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].”
- Image-based plant phenotyping with incremental learning and active contours (2014, methodology): “…al., 2011; Kokorian et al., 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.g., the solutions provided by commercial entities such as…”