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Modeling leaf growth of rosette plants using infrared stereo image sequences

Modeling leaf growth of rosette plants using infrared stereo image sequences

Authors :
Babette Dellen
Hanno Scharr
Florentin Wörgötter
Andreas Fischbach
Alexey Abramov
Eren Erdal Aksoy
Ministerio de Ciencia e Innovación (España)
European Commission
Source :
Digital.CSIC. Repositorio Institucional del CSIC, instname, UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC)
Publication Year :
2015
Publisher :
Elsevier, 2015.

Abstract

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.<br />The research leading to these results has received funding from the European Community’s Seventh Framework Programme FP7/2007-2013 – Challenge 2 – Cognitive Systems, Interaction, Robotics – under grant agreement No 247947 – GARNICS. Babette Dellen acknowledges support from the Spanish Ministry for Science and Innovation through a Ramon y Cajal program.

Details

Database :
OpenAIRE
Journal :
Digital.CSIC. Repositorio Institucional del CSIC, instname, UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC)
Accession number :
edsair.doi.dedup.....f22061bb113c36ea3d5708924b76d4be