001     187305
005     20210129215005.0
037 _ _ |a FZJ-2015-00976
100 1 _ |a Müller-Linow, Mark
|0 P:(DE-Juel1)142555
|b 0
|e Corresponding Author
|u fzj
111 2 _ |a Plant Phenotyping: Concepts; Sensors and Applications - International Crop.SENSe.net Symposium
|c Bonn
|d 2014-09-29 - 2014-10-01
|w Germany
245 _ _ |a Structural properties of natural plant populations: assessing canopy traits with a novel software tool
260 _ _ |c 2014
336 7 _ |a Conference Presentation
|b conf
|m conf
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|s 1422537900_8063
|2 PUB:(DE-HGF)
|x Other
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a Other
|2 DataCite
336 7 _ |a LECTURE_SPEECH
|2 ORCID
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a INPROCEEDINGS
|2 BibTeX
520 _ _ |a Three-dimensional canopies form complex architectures with temporally and spatially changing leaf orientations. Variations in canopy structure are linked to canopy function and they occur within the scope of genetic variability as well as a reaction to environmental factor like light, water and nutrient supply, and stress. An important key measure to characterize these structural properties is the leaf angle distribution, which in turn requires the 3-dimensional knowledge on single leaf surface. A suitable approach is stereo imaging, which combines depth and color information and which is robust against wind and bright sun light. We developed a software package, which provides tools for the quantification of leaf surface properties within natural canopies via 3-d reconstruction from stereo images. Our approach includes a semi-automatic selection process of single leaves and different modes of surface characterization via polygon smoothing or surface model fitting. In a case study in the central experiment of CropSense.net at Campus Klein-Altendorf we monitored the seasonal development of sugar beet populations in order to investigate seasonal, genotypic and fertilization effects on leaf angle distributions. We could show that leaf angle distributions change during the course of the season with all varieties having a comparable development. Additionally, different varieties exhibited distinctive leaf angle orientation that could be separated in principle component analysis. In contrast nitrogen treatment had no effect on leaf angles. Stereo imaging together with the appropriate image processing tools is not only capable of retrieving the geometric leaf surface properties within a crop canopy, it also provides a basis for the analysis of other structural properties. We will show the potential with an example of fruit distributions and dimensions in apple orchards.
536 _ _ |a 89582 - Plant Science (POF2-89582)
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|c POF2-89582
|f POF II T
|x 0
536 _ _ |a DPPN - Deutsches Pflanzen Phänotypisierungsnetzwerk (BMBF-031A053A)
|0 G:(DE-Juel1)BMBF-031A053A
|c BMBF-031A053A
|f Deutsches Pflanzen Phänotypisierungsnetzwerk
|x 1
700 1 _ |a Pinto, Francisco
|0 P:(DE-Juel1)138884
|b 1
|u fzj
700 1 _ |a Olbertz, Luka Alexandra
|0 P:(DE-Juel1)161428
|b 2
|u fzj
700 1 _ |a Rascher, Uwe
|0 P:(DE-Juel1)129388
|b 3
|u fzj
773 _ _ |y 2014
909 C O |o oai:juser.fz-juelich.de:187305
|p VDB
910 1 _ |a Forschungszentrum Jülich GmbH
|0 I:(DE-588b)5008462-8
|k FZJ
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|6 P:(DE-Juel1)142555
910 1 _ |a Forschungszentrum Jülich GmbH
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910 1 _ |a Forschungszentrum Jülich GmbH
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910 1 _ |a Forschungszentrum Jülich GmbH
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913 2 _ |a DE-HGF
|b Key Technologies
|l Key Technologies for the Bioeconomy
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|v Plant Science
|x 0
913 1 _ |a DE-HGF
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|b Programmungebundene Forschung
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914 1 _ |y 2014
920 1 _ |0 I:(DE-Juel1)IBG-2-20101118
|k IBG-2
|l Pflanzenwissenschaften
|x 0
980 _ _ |a conf
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)IBG-2-20101118
980 _ _ |a UNRESTRICTED


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