%0 Journal Article
%A Aksoy, Eren Erdal
%A Abramov, Alexey
%A Wörgötter, Florentin
%A Scharr, Hanno
%A Fischbach, Andreas
%A Dellen, Babette
%T Modeling leaf growth of rosette plants using infrared stereo image sequences
%J Computers and electronics in agriculture
%V 110
%@ 0168-1699
%C Amsterdam [u.a.]
%I Elsevier Science
%M FZJ-2015-00492
%P 78 - 90
%D 2015
%X In this paper, we present a novel multi-level procedure for finding and tracking leaves of a rosette plant, in our case up to 3 weeks old tobacco plants, during early growth from infrared-image sequences. This allows measuring important plant parameters, e.g. leaf growth rates, in an automatic and non-invasive manner. The procedure consists of three main stages: preprocessing, leaf segmentation, and leaf tracking. Leaf-shape models are applied to improve leaf segmentation, and further used for measuring leaf sizes and handling occlusions. Leaves typically grow radially away from the stem, a property that is exploited in our method, reducing the dimensionality of the tracking task. We successfully tested the method on infrared image sequences showing the growth of tobacco-plant seedlings up to an age of about 30 days, which allows measuring relevant plant growth parameters such as leaf growth rate. By robustly fitting a suitably modified autocatalytic growth model to all growth curves from plants under the same treatment, average plant growth models could be derived. Future applications of the method include plant-growth monitoring for optimizing plant production in green houses or plant phenotyping for plant research.
%F PUB:(DE-HGF)16
%9 Journal Article
%U <Go to ISI:>//WOS:000349881000009
%R 10.1016/j.compag.2014.10.020
%U https://juser.fz-juelich.de/record/186416