Dataset containing spectral data from hyperspectral imaging and sugar content measurements of grapes berries in various maturity stage

In the dataset presented in this article, two hundred and seventy four trays containing one hundred berries were measured by a hyperspectral camera in the visible/near-infrared spectral domain. This dataset was formed to study the use of hyperspectral imaging for maturity monitoring of grape berries...

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Autores principales: Ryckewaert, Maxime, Héran, Daphné, Feilhes, Carole, Prezman, Fanny, Serrano, Eric, Courand, Aldrig, Mas-Garcia, Silvia, Metz, Maxime, Bendoula, Ryad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792338/
https://www.ncbi.nlm.nih.gov/pubmed/36582988
http://dx.doi.org/10.1016/j.dib.2022.108822
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author Ryckewaert, Maxime
Héran, Daphné
Feilhes, Carole
Prezman, Fanny
Serrano, Eric
Courand, Aldrig
Mas-Garcia, Silvia
Metz, Maxime
Bendoula, Ryad
author_facet Ryckewaert, Maxime
Héran, Daphné
Feilhes, Carole
Prezman, Fanny
Serrano, Eric
Courand, Aldrig
Mas-Garcia, Silvia
Metz, Maxime
Bendoula, Ryad
author_sort Ryckewaert, Maxime
collection PubMed
description In the dataset presented in this article, two hundred and seventy four trays containing one hundred berries were measured by a hyperspectral camera in the visible/near-infrared spectral domain. This dataset was formed to study the use of hyperspectral imaging for maturity monitoring of grape berries [2]. This dataset contains reflectance spectra from hyperspectral camera of grape berries of three different varieties and chemical composition (sugar content).
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spelling pubmed-97923382022-12-28 Dataset containing spectral data from hyperspectral imaging and sugar content measurements of grapes berries in various maturity stage Ryckewaert, Maxime Héran, Daphné Feilhes, Carole Prezman, Fanny Serrano, Eric Courand, Aldrig Mas-Garcia, Silvia Metz, Maxime Bendoula, Ryad Data Brief Data Article In the dataset presented in this article, two hundred and seventy four trays containing one hundred berries were measured by a hyperspectral camera in the visible/near-infrared spectral domain. This dataset was formed to study the use of hyperspectral imaging for maturity monitoring of grape berries [2]. This dataset contains reflectance spectra from hyperspectral camera of grape berries of three different varieties and chemical composition (sugar content). Elsevier 2022-12-12 /pmc/articles/PMC9792338/ /pubmed/36582988 http://dx.doi.org/10.1016/j.dib.2022.108822 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Ryckewaert, Maxime
Héran, Daphné
Feilhes, Carole
Prezman, Fanny
Serrano, Eric
Courand, Aldrig
Mas-Garcia, Silvia
Metz, Maxime
Bendoula, Ryad
Dataset containing spectral data from hyperspectral imaging and sugar content measurements of grapes berries in various maturity stage
title Dataset containing spectral data from hyperspectral imaging and sugar content measurements of grapes berries in various maturity stage
title_full Dataset containing spectral data from hyperspectral imaging and sugar content measurements of grapes berries in various maturity stage
title_fullStr Dataset containing spectral data from hyperspectral imaging and sugar content measurements of grapes berries in various maturity stage
title_full_unstemmed Dataset containing spectral data from hyperspectral imaging and sugar content measurements of grapes berries in various maturity stage
title_short Dataset containing spectral data from hyperspectral imaging and sugar content measurements of grapes berries in various maturity stage
title_sort dataset containing spectral data from hyperspectral imaging and sugar content measurements of grapes berries in various maturity stage
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792338/
https://www.ncbi.nlm.nih.gov/pubmed/36582988
http://dx.doi.org/10.1016/j.dib.2022.108822
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