Early detection of drought stress in Arabidopsis thaliana utilsing a portable hyperspectral imaging setup

Puneet Mishra; Torsten Feller; Martin Schmuck; Andreas Nicol; Alison Nordon

doi:10.1109/WHISPERS.2019.8921077

Early detection of drought stress in Arabidopsis thaliana utilsing a portable hyperspectral imaging setup

Puneet Mishra
, Torsten Feller
, Martin Schmuck
, Andreas Nicol
, Alison Nordon

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

19 Citations (Scopus)

43 Downloads (Pure)

Abstract

Close-range hyperspectral imaging (HSI) of plants is now a potential tool for non-destructive extraction of plant functional traits. A major motivation is the plant phenotyping related applications where different plant genotypes are explored for different environmental conditions. HSI of Arabidopsis thaliana is of particular importance as it is a model organism in plant biology. In the present work, a portable HSI setup has been used for the monitoring of a set of 6 Arabidopsis thaliana plants. The plants were monitored under controlled watering conditions where 3 plants were watered as normal and the other 3 plants were given 50% of the normal volume of water. The images were pre-processed utilising the standard normal variate (SNV) and changes over time were evaluated using unsupervised clustering over the time series. The results showed an early detection of stress from day 4 onwards compared to the commonly used normalised difference vegetation index (NDVI), which provided detection from day 9.

Original language	English
Title of host publication	2019 10th Workshop on Hyperspectral Imaging and Signal Processing
Subtitle of host publication	Evolution in Remote Sensing
Place of Publication	Piscataway
Publisher	IEEE
Number of pages	5
ISBN (Print)	9781728152943
DOIs	https://doi.org/10.1109/WHISPERS.2019.8921077
Publication status	Published - 5 Dec 2019
Event	2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) - Duration: 24 Sept 2019 → 26 Sept 2019

Conference

Conference	2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)
Period	24/09/19 → 26/09/19

Keywords

visible-near infrared
automatic
agriculture
digital
phenotyping

Access to Document

10.1109/WHISPERS.2019.8921077

Mishra-etal-WHISPERS2019-Early-detection-of-drought-stress-in-arabidopsis-thalianaAccepted author manuscript, 278 KB

Modlife (H2020 MCSA ETN)
Nordon, A. (Principal Investigator)
European Commission - Horizon Europe + H2020
1/11/15 → 31/10/19
Project: Research

Cite this

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title = "Early detection of drought stress in Arabidopsis thaliana utilsing a portable hyperspectral imaging setup",

abstract = "Close-range hyperspectral imaging (HSI) of plants is now a potential tool for non-destructive extraction of plant functional traits. A major motivation is the plant phenotyping related applications where different plant genotypes are explored for different environmental conditions. HSI of Arabidopsis thaliana is of particular importance as it is a model organism in plant biology. In the present work, a portable HSI setup has been used for the monitoring of a set of 6 Arabidopsis thaliana plants. The plants were monitored under controlled watering conditions where 3 plants were watered as normal and the other 3 plants were given 50\% of the normal volume of water. The images were pre-processed utilising the standard normal variate (SNV) and changes over time were evaluated using unsupervised clustering over the time series. The results showed an early detection of stress from day 4 onwards compared to the commonly used normalised difference vegetation index (NDVI), which provided detection from day 9.",

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author = "Puneet Mishra and Torsten Feller and Martin Schmuck and Andreas Nicol and Alison Nordon",

note = "{\textcopyright} 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) ; Conference date: 24-09-2019 Through 26-09-2019",

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month = dec,

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Mishra, P, Feller, T, Schmuck, M, Nicol, A & Nordon, A 2019, Early detection of drought stress in Arabidopsis thaliana utilsing a portable hyperspectral imaging setup. in 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing., 8921077, IEEE, Piscataway, 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 24/09/19. https://doi.org/10.1109/WHISPERS.2019.8921077

Early detection of drought stress in Arabidopsis thaliana utilsing a portable hyperspectral imaging setup. / Mishra, Puneet; Feller, Torsten; Schmuck, Martin et al.
2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing. Piscataway: IEEE, 2019. 8921077.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Early detection of drought stress in Arabidopsis thaliana utilsing a portable hyperspectral imaging setup

AU - Mishra, Puneet

AU - Feller, Torsten

AU - Schmuck, Martin

AU - Nicol, Andreas

AU - Nordon, Alison

N1 - © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2019/12/5

Y1 - 2019/12/5

N2 - Close-range hyperspectral imaging (HSI) of plants is now a potential tool for non-destructive extraction of plant functional traits. A major motivation is the plant phenotyping related applications where different plant genotypes are explored for different environmental conditions. HSI of Arabidopsis thaliana is of particular importance as it is a model organism in plant biology. In the present work, a portable HSI setup has been used for the monitoring of a set of 6 Arabidopsis thaliana plants. The plants were monitored under controlled watering conditions where 3 plants were watered as normal and the other 3 plants were given 50% of the normal volume of water. The images were pre-processed utilising the standard normal variate (SNV) and changes over time were evaluated using unsupervised clustering over the time series. The results showed an early detection of stress from day 4 onwards compared to the commonly used normalised difference vegetation index (NDVI), which provided detection from day 9.

AB - Close-range hyperspectral imaging (HSI) of plants is now a potential tool for non-destructive extraction of plant functional traits. A major motivation is the plant phenotyping related applications where different plant genotypes are explored for different environmental conditions. HSI of Arabidopsis thaliana is of particular importance as it is a model organism in plant biology. In the present work, a portable HSI setup has been used for the monitoring of a set of 6 Arabidopsis thaliana plants. The plants were monitored under controlled watering conditions where 3 plants were watered as normal and the other 3 plants were given 50% of the normal volume of water. The images were pre-processed utilising the standard normal variate (SNV) and changes over time were evaluated using unsupervised clustering over the time series. The results showed an early detection of stress from day 4 onwards compared to the commonly used normalised difference vegetation index (NDVI), which provided detection from day 9.

KW - visible-near infrared

KW - automatic

KW - agriculture

KW - digital

KW - phenotyping

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Y2 - 24 September 2019 through 26 September 2019

ER -

Early detection of drought stress in Arabidopsis thaliana utilsing a portable hyperspectral imaging setup

Abstract

Conference

Keywords

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Projects

Modlife (H2020 MCSA ETN)

Cite this