@inproceedings{95e085e7e9484ef5a9961126bc0b369f,
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.",
keywords = "agriculture, automatic, digital, phenotyping, visible-near infrared",
author = "Puneet Mishra and Torsten Feller and Martin Schmuck and Andreas Nicol and Alison Nordon",
year = "2019",
month = sep,
doi = "10.1109/WHISPERS.2019.8921077",
language = "English",
series = "Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing",
publisher = "IEEE",
booktitle = "2019 10th Workshop on Hyperspectral Imaging and Signal Processing",
address = "United States",
note = "10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, WHISPERS 2019 ; Conference date: 24-09-2019 Through 26-09-2019",
}