RGB and VIS/NIR Hyperspectral Imaging Data for 90 Rice Seed Varieties

The dataset contains 90 rice seed species and 96 kernels per species resulting in 8,640 rice seed kernels in total. The dataset was collected in 2017 using the following two imaging systems: Visible - Near Infrared (VIS/NIR) Hyperspectral Imaging Device System (~385nm - ~1000nm) consisting of a Spec...

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Main Authors: Vu, Hai, Tachtatzis, Christos, Murray, Paul, Harle, David, Dao, Trung-Kien, Andonovic, Ivan, Marshall, Stephen, Fabiyi, Samson Damilola
Format: Dataset
Language:English
Published: 2019
Subjects:
Online Access:https://zenodo.org/record/3241923
https://doi.org/10.5281/zenodo.3241923
id ftzenodo:oai:zenodo.org:3241923
record_format openpolar
spelling ftzenodo:oai:zenodo.org:3241923 2023-05-15T17:54:03+02:00 RGB and VIS/NIR Hyperspectral Imaging Data for 90 Rice Seed Varieties Vu, Hai Tachtatzis, Christos Murray, Paul Harle, David Dao, Trung-Kien Andonovic, Ivan Marshall, Stephen Fabiyi, Samson Damilola 2019-12-31 https://zenodo.org/record/3241923 https://doi.org/10.5281/zenodo.3241923 eng eng doi:10.1109/ACCESS.2020.2969847 doi:10.5281/zenodo.3241922 https://zenodo.org/record/3241923 https://doi.org/10.5281/zenodo.3241923 oai:zenodo.org:3241923 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode IEEE Access 8 22493-22505 info:eu-repo/semantics/other dataset 2019 ftzenodo https://doi.org/10.5281/zenodo.324192310.1109/ACCESS.2020.296984710.5281/zenodo.3241922 2023-03-11T04:24:05Z The dataset contains 90 rice seed species and 96 kernels per species resulting in 8,640 rice seed kernels in total. The dataset was collected in 2017 using the following two imaging systems: Visible - Near Infrared (VIS/NIR) Hyperspectral Imaging Device System (~385nm - ~1000nm) consisting of a Specim V10E Imaging Spectrograph and Hamamatsu ORCA-05G CCD camera. RGB - Fujifilm X-M1 with a 35mm/F2.0, ISO 400. For each species, 96 kernels have been captured in two imaging bundles with 48 kernels in each bundle. For each imaging bundle, the 48 kernels were carefully positioned on a sheet of white paper and arranged in an 8x6 matrix. This rice seed matrix was then positioned on a translational stage and imaged using the HSI and RGB cameras described above. The following three files result from a single acquisition: .hdr: The HSI ENVI header file (More information on the ENVI format can be found at the Harris Geospatial Solutions documentation. .raw: The HSI datacube data. .jpg: The RGB image. The filename convention used is the (short) species name followed by a dash, followed by the bundle number (i.e. 1 or 2), followed by the filename suffix. For instance, the data for the BC15 rice seed variety are contained in the following 6 files: BC15-01.hdr BC15-01.raw BC15-01.jpg BC15-02.hdr BC15-02.raw BC15-02.jpg The data were captured in 9 batches across multiple days. All the data from the same batch are contained in a dedicated folder. For instance the folder Data-VIS-20170111-2-room-light-offindicates that the data are in the VIS/NIR range, captured on the 11th of January 2017 and this was the second batch for that day with the room lights off. Two halogen bulbs were used for illumination and these were accurately positioned to provide balanced lighting across the scene. To ensure stability, the halogen bulbs were switched on and allowed to reach constant operating temperature before the data were acquired in a dark room to minimise any other sources of illumination variance. For the purposes of calibration each HSI ... Dataset Orca Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language English
description The dataset contains 90 rice seed species and 96 kernels per species resulting in 8,640 rice seed kernels in total. The dataset was collected in 2017 using the following two imaging systems: Visible - Near Infrared (VIS/NIR) Hyperspectral Imaging Device System (~385nm - ~1000nm) consisting of a Specim V10E Imaging Spectrograph and Hamamatsu ORCA-05G CCD camera. RGB - Fujifilm X-M1 with a 35mm/F2.0, ISO 400. For each species, 96 kernels have been captured in two imaging bundles with 48 kernels in each bundle. For each imaging bundle, the 48 kernels were carefully positioned on a sheet of white paper and arranged in an 8x6 matrix. This rice seed matrix was then positioned on a translational stage and imaged using the HSI and RGB cameras described above. The following three files result from a single acquisition: .hdr: The HSI ENVI header file (More information on the ENVI format can be found at the Harris Geospatial Solutions documentation. .raw: The HSI datacube data. .jpg: The RGB image. The filename convention used is the (short) species name followed by a dash, followed by the bundle number (i.e. 1 or 2), followed by the filename suffix. For instance, the data for the BC15 rice seed variety are contained in the following 6 files: BC15-01.hdr BC15-01.raw BC15-01.jpg BC15-02.hdr BC15-02.raw BC15-02.jpg The data were captured in 9 batches across multiple days. All the data from the same batch are contained in a dedicated folder. For instance the folder Data-VIS-20170111-2-room-light-offindicates that the data are in the VIS/NIR range, captured on the 11th of January 2017 and this was the second batch for that day with the room lights off. Two halogen bulbs were used for illumination and these were accurately positioned to provide balanced lighting across the scene. To ensure stability, the halogen bulbs were switched on and allowed to reach constant operating temperature before the data were acquired in a dark room to minimise any other sources of illumination variance. For the purposes of calibration each HSI ...
format Dataset
author Vu, Hai
Tachtatzis, Christos
Murray, Paul
Harle, David
Dao, Trung-Kien
Andonovic, Ivan
Marshall, Stephen
Fabiyi, Samson Damilola
spellingShingle Vu, Hai
Tachtatzis, Christos
Murray, Paul
Harle, David
Dao, Trung-Kien
Andonovic, Ivan
Marshall, Stephen
Fabiyi, Samson Damilola
RGB and VIS/NIR Hyperspectral Imaging Data for 90 Rice Seed Varieties
author_facet Vu, Hai
Tachtatzis, Christos
Murray, Paul
Harle, David
Dao, Trung-Kien
Andonovic, Ivan
Marshall, Stephen
Fabiyi, Samson Damilola
author_sort Vu, Hai
title RGB and VIS/NIR Hyperspectral Imaging Data for 90 Rice Seed Varieties
title_short RGB and VIS/NIR Hyperspectral Imaging Data for 90 Rice Seed Varieties
title_full RGB and VIS/NIR Hyperspectral Imaging Data for 90 Rice Seed Varieties
title_fullStr RGB and VIS/NIR Hyperspectral Imaging Data for 90 Rice Seed Varieties
title_full_unstemmed RGB and VIS/NIR Hyperspectral Imaging Data for 90 Rice Seed Varieties
title_sort rgb and vis/nir hyperspectral imaging data for 90 rice seed varieties
publishDate 2019
url https://zenodo.org/record/3241923
https://doi.org/10.5281/zenodo.3241923
genre Orca
genre_facet Orca
op_source IEEE Access 8 22493-22505
op_relation doi:10.1109/ACCESS.2020.2969847
doi:10.5281/zenodo.3241922
https://zenodo.org/record/3241923
https://doi.org/10.5281/zenodo.3241923
oai:zenodo.org:3241923
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.324192310.1109/ACCESS.2020.296984710.5281/zenodo.3241922
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