SpectroFood dataset Broccoli
Creators
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Malounas, Ioannis
(Data collector)1
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Kutluk, Sezer
(Data manager)2
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Zude-Sasse, Manuela
(Data collector)2
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Ming, Zhao
(Data collector)3
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Vierbergen, Wout
(Data collector)4
- Yang, Kai (Data manager)3
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Argyropoulos, Dimitrios
(Data collector)3
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Ampe, Eva
(Data collector)4
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Van Beek, Jonathan
(Data collector)4
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Fountas, Spyros
(Data collector)1
- 1. Agricultural University of Athens
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2.
Leibniz Institute for Agricultural Engineering and Bioeconomy
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3.
University College Dublin
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4.
Instituut voor Landbouw en Visserijonderzoek
Description
This dataset contains hyperspectral data in the visible / shortwave near-infrared spectral (470 - 900 nm) domain for broccoli. The cubes were downsized to 80 % in OpenCV using bilinear interpolation (https://docs.opencv.org/4.8.0/da/d6e/tutorial_py_geometric_transformations.html).
The data set contains cubes of 250 samples, wavelength vector and sample labels in Matlab's mat format. In each mat file 10 sample readings are collected, however, labels in the files provide the sample number.
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
(42.8 GB)
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Additional details
Related works
- Is published in
- Data paper: 10.1016/j.dib.2024.110040 (DOI)