Plant phenotyping with low cost digital cameras and image analytics

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Finely-grained annotated datasets for image-based plant phenotyping (2016, methodology): “Figure 4) consisted of a growth shelf and an automated affordable sensing system (Tsaftaris and Noutsos, 2009), to acquire and send images of the scene via a wireless connection to a receiving computer (http://www.”
Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner] (2015, background): “[12] S.”
Crop Phenomics: Current Status and Perspectives (2019, background): “In fact, aﬀordable phenotypic acquisition techniques or platforms are constantly being updated, such as the imaging system developed by Tsaftaris and Noutsos (2009) that uses wireless-connected consumer digital cameras, and the low-cost Glyph phenotyping platform (Pereyra-Irujo et al., 2012).”
Image-based plant phenotyping with incremental learning and active contours (2014, methodology): “On the other hand, some approaches assume static cameras with a fixed field of view (De Vylder et al., 2012; Hartmann et al., 2011; Kokorian et al., 2010; Tsaftaris and Noutsos, 2009) and are largely used in growth-chamber experiments of small plant models such as Arabidopsis.”