Specim IQ Camera: Dataset for Arabidopsis Case Study

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Institute of Bio- and Geosciences – Plant Sciences (IBG-2) (Forschungszentrum Jülich)

Institute of Bio- and Geosciences – Plant Sciences (IBG-2)

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Acebron, Kelvin, 2022, "Specim IQ Camera: Dataset for Arabidopsis Case Study", https://doi.org/10.26165/JUELICH-DATA/OM1JKZ, Jülich DATA, V1

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Description	Hyperspectral imaging is a technique used in plant phenotyping which can detect differences in plant traits. Information about the morphology and physiology of plants can be derived by calculating spectral ratios (Vegetation Indices) from hyperspectral datacube. Here we publish the datacube from Arabidopsis plants used as a case study to calculate vegetation indices (NDVI, REIP and PRI) from stressed and non-stressed plants. Files include raw data from IQ camera, analyzed data from ENVI and MatLab software, and visualized in MS Excel. Detailed description of the dataset and methodology used is published in Behmann et al., 2018 (Sensors). (2018-02-02)
Subject	Agricultural Sciences
Keyword	Hyperspectral data, photochemical reflectance index, normalized difference vegetation index
Related Publication	Behmann, Jan, Kelvin Acebron, Dzhaner Emin, Simon Bennertz, Shizue Matsubara, Stefan Thomas, David Bohnenkamp et al. "Specim IQ: evaluation of a new, miniaturized handheld hyperspectral camera and its application for plant phenotyping and disease detection." Sensors 18, no. 2 (2018): 441. doi: 10.3390/s18020441
Institute	IBG-2

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	NDVI and PRI exported from ENVI.xlsx MS Excel Spreadsheet - 203.2 KB - Mar 22, 2022 - 16 Downloads SHA-256: aa5daf5fa6415279dce222012604621d30fef7894426591643ba85acdcc07a36	Download
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	PRI.png PNG Image - 38.4 KB - Mar 22, 2022 - 13 Downloads SHA-256: 1c1d88a4150fb439deb3493578c0a3d0681b2821f92d12757bd09fcaabaefeec	Download

Citation Metadata

Dataset Persistent ID	doi:10.26165/JUELICH-DATA/OM1JKZ
Publication Date	2022-03-22
Title	Specim IQ Camera: Dataset for Arabidopsis Case Study
Author	Acebron, Kelvin (IBG-2 Plant Sciences, Forschungszentrum Juelich) - ORCID: 0000-0002-8523-0256
Contact	Use email button above to contact. Acebron, Kelvin (IBG-2 Plant Sciences, Forschungszentrum Juelich)
Description	Hyperspectral imaging is a technique used in plant phenotyping which can detect differences in plant traits. Information about the morphology and physiology of plants can be derived by calculating spectral ratios (Vegetation Indices) from hyperspectral datacube. Here we publish the datacube from Arabidopsis plants used as a case study to calculate vegetation indices (NDVI, REIP and PRI) from stressed and non-stressed plants. Files include raw data from IQ camera, analyzed data from ENVI and MatLab software, and visualized in MS Excel. Detailed description of the dataset and methodology used is published in Behmann et al., 2018 (Sensors). (2018-02-02)
Subject	Agricultural Sciences
Keyword	Hyperspectral data photochemical reflectance index (PRI) normalized difference vegetation index (NDVI)
Related Publication	Behmann, Jan, Kelvin Acebron, Dzhaner Emin, Simon Bennertz, Shizue Matsubara, Stefan Thomas, David Bohnenkamp et al. "Specim IQ: evaluation of a new, miniaturized handheld hyperspectral camera and its application for plant phenotyping and disease detection." Sensors 18, no. 2 (2018): 441. doi: 10.3390/s18020441 https://doi.org/10.3390/s18020441
Depositor	Acebron, Kelvin
Deposit Date	2022-03-22

FZJ Metadata

Institute	IBG-2
PoF IV topic	Biological and environmental resources for sustainable use (POF4-2171)

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