SpectroFood dataset Leek
Creators
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Malounas, Ioannis
(Data collector)1
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Vierbergen, Wout
(Data collector)2
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Van Beek, Jonathan
(Data collector)3
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Ampe, Eva
(Data collector)2
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Zude-Sasse, Manuela
(Data collector)4
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Kutluk, Sezer
(Data manager)4
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Ming, Zhao
(Data collector)5
- Yang, Kai (Data manager)5
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Argyropoulos, Dimitrios
(Data collector)5
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Fountas, Spyros
(Data collector)1
- 1. Agricultural University of Athens
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2.
Instituut voor Landbouw en Visserijonderzoek
- 3. Instituut voor Landbouw- Visserij- en Voedingsonderzoek
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4.
Leibniz Institute for Agricultural Engineering and Bioeconomy
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5.
University College Dublin
Description
This dataset contains hyperspectral data in the visible / near-infrared spectral domain for leek. The samples were measured with two sensors FX10 and FX17 capturing the ranges 397.66 - 1003.81 nm and 935.61 - 1720.23 nm, respectively. The mat files 1-6 contain data measured with FX10, while files 7 - 12 contain the FX17 data.
The data set contains cubes of 288 samples, wavelength array and sample labels in Matlab's mat format. Each file captures 48 samples.
This data set exceeds the mean spectra presented in the data paper publication in the journal Data-in-Brief. The mean spectra captured 198 spectral measuring points of FX10, while the present data set also captures the last wavelengths of FX10, resulting in 224 measuring points. The mean spectra captured 223 spectral measuring points of FX17, while the present data set also captures the last wavelength of FX17, resulting in 224 measuring points.
The data set is coupled with dry matter content references that are provided here: https://zenodo.org/records/8362947
Notes
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grand agreement no 862665 ICT AGRI FOOD, through regional funding provided by GSRI (Greece), BMEL (Germany), DAFM (Ireland) and VLAIO (Belgium).
Files
Files
(42.3 GB)
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md5:2787ddb1dde0007df277705caf89d2c4
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3.9 GB | Download |
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md5:29cca4b4b6b7af62bc7ff9e997b33d52
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2.9 GB | Download |
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md5:8eb27b2e4b9b64ddbddad4f176447953
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2.9 GB | Download |
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md5:684e8ee41f61fbf220f552c43f6fff5c
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3.0 GB | Download |
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md5:439c0d4d26c6747310bce5286b0c2141
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md5:93fdcf70776079529d776cf330bbbc81
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4.3 GB | Download |
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md5:3ae03115f5941048a7b53e9ca94644d1
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4.2 GB | Download |
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md5:0f51e748a8aafcbb44911630ad667f4a
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4.2 GB | Download |
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md5:4fe300951f9907172eddc198e8aa6ef5
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4.4 GB | Download |
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md5:97343f9ffa939ea1001e929ef564f3dc
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2.7 GB | Download |
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md5:a84c5f02b6febbcec216caa6280b25b7
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2.8 GB | Download |
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md5:3b191250b336b71a4ece1965aba903c5
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3.0 GB | Download |
Additional details
Related works
- Is published in
- Data paper: 10.1016/j.dib.2024.110040 (DOI)