The modular character of growth in Nicotiana tabacum plants under steady-state nutrition

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Finely-grained annotated datasets for image-based plant phenotyping (2016, background): “This growth curve usually follows an exponential relationship with time (Richards, 1959; Walter and Schurr, 1999), and frequent imaging can capture small di ﬀ erences.”
An interactive tool for semi-automated leaf annotation (2015, background): “Nevertheless, obtaining such information at the individual leaf level (as for example in [31]), which could help us to identify even more important plant traits, from a computer vision perspective is particularly challenging.”
Leaf segmentation in plant phenotyping: a collation study (2015, background): “However, obtaining such refined information at the individual leaf level (as for example in [56]), which could help us identify even more important plant traits, from a computer vision perspective is particularly challenging.”
segmentation in plant phenotyping: a collation study. Machine Vision and Applications (2017, background): “However, obtaining such reﬁned information at the individual leaf level (as for example in [56]), which could help us identify even more important plant traits, from a computer vision perspective is particularly challenging.”
Learning to Count Leaves in Rosette Plants (2015, background): “developmental stage [36], growth regulation [6, 38], flowering time [21], and yield potential.”