SpectroFood dataset: A comprehensive fruit and vegetable hyperspectral meta-dataset for dry matter estimation

SpectroFood dataset: A comprehensive fruit and vegetable hyperspectral meta-dataset for dry matter estimation

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 c...

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Bibliographic Details
Main Authors: Ioannis Malounas, Wout Vierbergen, Sezer Kutluk, Manuela Zude-Sasse, Kai Yang, Ming Zhao, Dimitrios Argyropoulos, Jonathan Van Beek, Eva Ampe, Spyros Fountas
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Data in Brief
Subjects:
Hyperspectral imaging
Artificial intelligence
Apple
Broccoli
Leek
Mushroom
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340924000143

Internet

http://www.sciencedirect.com/science/article/pii/S2352340924000143

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