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

Mishra, Puneet and Feller, Torsten and Schmuck, Martin and Nicol, Andreas and Nordon, Alison; (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. IEEE, Piscataway. ISBN 9781728152943 (https://doi.org/10.1109/WHISPERS.2019.8921077)

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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.

ORCID iDs

Mishra, Puneet, Feller, Torsten, Schmuck, Martin, Nicol, Andreas and Nordon, Alison ORCID logoORCID: https://orcid.org/0000-0001-6553-8993;
CORE (COnnecting REpositories)