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Multi-sensor plant imaging: towards the development of a stress-catalogue

Laury Chaerle UGent, Sándor Lenk, Ilkka Leinonen, Hamlyn G Jones, Dominique Van Der Straeten UGent and Buschmann Buschmann (2009) BIOTECHNOLOGY JOURNAL. 4(8). p.1152-1167
abstract
Agricultural production is limited by a wide range of abiotic (e.g. drought, waterlogging) and biotic (pests, diseases and weeds) stresses. The impact of these stresses can be minimized by appropriate management actions such as irrigation or chemical pesticide application. However, further optimization requires the ability to diagnose and quantify the different stresses at an early stage. Particularly valuable information of plant stress responses is provided by plant imaging, i.e. non-contact sensing with spatial resolving power: (i) thermal imaging, detecting changes in transpiration rate and (ii) fluorescence imaging monitoring alterations in photosynthesis and other physiological processes. These can be supplemented by conventional video imagery for study of growth. An efficient early warning system would need to discriminate between different stressors. Given the wide range of sensors, and the association of specific plant physiological responses with changes at particular wavelengths, this goal seems within reach. This is based on the organization of the individual sensor results in a matrix that identifies specific signatures for multiple stress types. In this report, we first review the diagnostic effectiveness of different individual imaging techniques and then extend this to the multi-sensor stress-identification approach.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
journal title
BIOTECHNOLOGY JOURNAL
Biotechnol. J.
volume
4
issue
8
pages
1152 - 1167
ISSN
1860-6768
language
English
UGent publication?
yes
classification
A2
id
1257335
handle
http://hdl.handle.net/1854/LU-1257335
date created
2011-06-08 10:53:48
date last changed
2011-06-27 11:25:17
@article{1257335,
  abstract     = {Agricultural production is limited by a wide range of abiotic (e.g. drought, waterlogging) and biotic (pests, diseases and weeds) stresses. The impact of these stresses can be minimized by appropriate management actions such as irrigation or chemical pesticide application. However, further optimization requires the ability to diagnose and quantify the different stresses at an early stage. Particularly valuable information of plant stress responses is provided by plant imaging, i.e. non-contact sensing with spatial resolving power: (i) thermal imaging, detecting changes in transpiration rate and (ii) fluorescence imaging monitoring alterations in photosynthesis and other physiological processes. These can be supplemented by conventional video imagery for study of growth. An efficient early warning system would need to discriminate between different stressors. Given the wide range of sensors, and the association of specific plant physiological responses with changes at particular wavelengths, this goal seems within reach. This is based on the organization of the individual sensor results in a matrix that identifies specific signatures for multiple stress types. In this report, we first review the diagnostic effectiveness of different individual imaging techniques and then extend this to the multi-sensor stress-identification approach.},
  author       = {Chaerle, Laury and Lenk, S{\'a}ndor and Leinonen, Ilkka and Jones, Hamlyn G and Van Der Straeten, Dominique and Buschmann, Buschmann},
  issn         = {1860-6768},
  journal      = {BIOTECHNOLOGY JOURNAL},
  language     = {eng},
  number       = {8},
  pages        = {1152--1167},
  title        = {Multi-sensor plant imaging: towards the development of a stress-catalogue},
  volume       = {4},
  year         = {2009},
}

Chicago
Chaerle, Laury, Sándor Lenk, Ilkka Leinonen, Hamlyn G Jones, Dominique Van Der Straeten, and Buschmann Buschmann. 2009. “Multi-sensor Plant Imaging: Towards the Development of a Stress-catalogue.” Biotechnology Journal 4 (8): 1152–1167.
APA
Chaerle, L., Lenk, S., Leinonen, I., Jones, H. G., Van Der Straeten, D., & Buschmann, B. (2009). Multi-sensor plant imaging: towards the development of a stress-catalogue. BIOTECHNOLOGY JOURNAL, 4(8), 1152–1167.
Vancouver
1.
Chaerle L, Lenk S, Leinonen I, Jones HG, Van Der Straeten D, Buschmann B. Multi-sensor plant imaging: towards the development of a stress-catalogue. BIOTECHNOLOGY JOURNAL. 2009;4(8):1152–67.
MLA
Chaerle, Laury, Sándor Lenk, Ilkka Leinonen, et al. “Multi-sensor Plant Imaging: Towards the Development of a Stress-catalogue.” BIOTECHNOLOGY JOURNAL 4.8 (2009): 1152–1167. Print.