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|a 10.1016/j.copbio.2011.12.010
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041 _ _ |a eng
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|a Biochemical Research Methods
084 _ _ |2 WoS
|a Biotechnology & Applied Microbiology
100 1 _ |a Fiorani, F.
|b 0
|u FZJ
|0 P:(DE-Juel1)143649
245 _ _ |a Imaging plants dynamics in heterogenic environments
260 _ _ |a Amsterdam [u.a.]
|b Elsevier Science
|c 2012
300 _ _ |a 227 - 235
336 7 _ |a Journal Article
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440 _ 0 |a Current Opinion in Biotechnology
|x 0958-1669
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|v 23
500 _ _ |a Record converted from VDB: 12.11.2012
520 _ _ |a Noninvasive imaging sensors and computer vision approaches are key technologies to quantify plant structure, physiological status, and performance. Today, imaging sensors exploit a wide range of the electromagnetic spectrum, and they can be deployed to measure a growing number of traits, also in heterogenic environments. Recent advances include the possibility to acquire high-resolution spectra by imaging spectroscopy and classify signatures that might be informative of plant development, nutrition, health, and disease. Three-dimensional (3D) reconstruction of surfaces and volume is of particular interest, enabling functional and mechanistic analyses. While taking pictures is relatively easy, quantitative interpretation often remains challenging and requires integrating knowledge of sensor physics, image analysis, and complex traits characterizing plant phenotypes.
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650 _ 2 |2 MeSH
|a Botany: methods
650 _ 2 |2 MeSH
|a Image Processing, Computer-Assisted
650 _ 2 |2 MeSH
|a Imaging, Three-Dimensional: methods
650 _ 2 |2 MeSH
|a Plants: anatomy & histology
650 _ 7 |a J
|2 WoSType
700 1 _ |a Rascher, U.
|b 1
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700 1 _ |a Jahnke, S.
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700 1 _ |a Schurr, U.
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773 _ _ |a 10.1016/j.copbio.2011.12.010
|g Vol. 23, p. 227 - 235
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|0 PERI:(DE-600)2019676-3
|t Current opinion in biotechnology
|v 23
|y 2012
|x 0958-1669
856 7 _ |u http://dx.doi.org/10.1016/j.copbio.2011.12.010
856 4 _ |u https://juser.fz-juelich.de/record/20846/files/FZJ-20846.pdf
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914 1 _ |y 2012
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