guest ::
| Home > Publications database > Modeling leaf growth of rosette plants using infrared stereo image sequences > print |
| Home > Publications database > Modeling leaf growth of rosette plants using infrared stereo image sequences > print |
| 001 | 186416 | ||
| 005 | 20210129214905.0 | ||
| 024 | 7 | _ | |a 10.1016/j.compag.2014.10.020 |2 doi |
| 024 | 7 | _ | |a 0168-1699 |2 ISSN |
| 024 | 7 | _ | |a 1872-7107 |2 ISSN |
| 024 | 7 | _ | |a WOS:000349881000009 |2 WOS |
| 037 | _ | _ | |a FZJ-2015-00492 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 620 |
| 100 | 1 | _ | |a Aksoy, Eren Erdal |0 P:(DE-HGF)0 |b 0 |e Corresponding Author |
| 245 | _ | _ | |a Modeling leaf growth of rosette plants using infrared stereo image sequences |
| 260 | _ | _ | |a Amsterdam [u.a.] |c 2015 |b Elsevier Science |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1421330477_12764 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a article |2 DRIVER |
| 520 | _ | _ | |a 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. |
| 536 | _ | _ | |a 582 - Plant Science (POF3-582) |0 G:(DE-HGF)POF3-582 |c POF3-582 |x 0 |f POF III |
| 588 | _ | _ | |a Dataset connected to CrossRef, juser.fz-juelich.de |
| 700 | 1 | _ | |a Abramov, Alexey |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Wörgötter, Florentin |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Scharr, Hanno |0 P:(DE-Juel1)129394 |b 3 |u fzj |
| 700 | 1 | _ | |a Fischbach, Andreas |0 P:(DE-Juel1)129315 |b 4 |u fzj |
| 700 | 1 | _ | |a Dellen, Babette |0 P:(DE-HGF)0 |b 5 |
| 773 | _ | _ | |a 10.1016/j.compag.2014.10.020 |g Vol. 110, p. 78 - 90 |0 PERI:(DE-600)2016151-7 |p 78 - 90 |t Computers and electronics in agriculture |v 110 |y 2015 |x 0168-1699 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/186416/files/FZJ-2015-00492.pdf |y Restricted |
| 909 | C | O | |o oai:juser.fz-juelich.de:186416 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)129394 |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)129315 |
| 913 | 0 | _ | |a DE-HGF |b Key Technologies |l Key Technologies for the Bioeconomy |1 G:(DE-HGF)POF2-89580 |0 G:(DE-HGF)POF2-89582 |2 G:(DE-HGF)POF3-890 |v Plant Science |x 0 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Key Technologies for the Bioeconomy |1 G:(DE-HGF)POF3-580 |0 G:(DE-HGF)POF3-582 |2 G:(DE-HGF)POF3-500 |v Plant Science |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |
| 914 | 1 | _ | |y 2015 |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Thomson Reuters Master Journal List |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1060 |2 StatID |b Current Contents - Agriculture, Biology and Environmental Sciences |
| 915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |
| 920 | 1 | _ | |0 I:(DE-Juel1)IBG-2-20101118 |k IBG-2 |l Pflanzenwissenschaften |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)IBG-2-20101118 |
| 980 | _ | _ | |a UNRESTRICTED |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|