SpectroFood dataset: A comprehensive fruit and vegetable hyperspectral meta-dataset for dry matter estimation.
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ABSTRACT:
SUBMITTER: Malounas I
PROVIDER: S-EPMC10823050 | biostudies-literature | 2024 Feb
REPOSITORIES: biostudies-literature
Publications
SpectroFood dataset: A comprehensive fruit and vegetable hyperspectral meta-dataset for dry matter estimation.
Malounas Ioannis I Vierbergen Wout W Kutluk Sezer S Zude-Sasse Manuela M Yang Kai K Zhao Ming M Argyropoulos Dimitrios D Van Beek Jonathan J Ampe Eva E Fountas Spyros S
Data in brief 20240111
In the dataset presented in this article, samples belonging to one of the following crops, apple, broccoli, leek, and mushroom, were measured by hyperspectral cameras in the visible/near-infrared spectral domain (430-900 nm). The dataset was compiled by putting together measurements from different calibrated hyperspectral imaging cameras and crops to facilitate the training of artificial intelligence models, helping to overcome the generalization problem of hyperspectral models. In particular, t ...[more]
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