Hyperspectral calibration database on fresh yam to predict hardness

Hyperspectral calibration database on fresh yam to predict hardness

This database contains 152 average spectra from hyper spectral images of fresh yam samples acquired in CIRAD (France). Image were collected using a Specim FX17 hyper spectral camera. Seven different varieties from the Yam collection in Guadeloupe were used for the study. This database contains also textural data measured on the same yam samples: Hardness. Data was acquired using MEGHAR, K., DAVRIEUX, F., & ALAMU, E. (2020). SOP for Hyperspectral Imaging Analysis of Fresh RTB Crops. High-Throughput Phenotyping Protocols (HTPP), WP3. Montpellier, France: RTBfoods Project Report, 12 p.

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Bibliographic Details
Main Authors: Meghar, Karima, Davrieux, Fabrice
Other Authors: Asiimwe, Amos
Format: Physico-chemical Data biblioteca
Language:English
Published: CIRAD Dataverse
Subjects:Agricultural Sciences, Fresh intact yam, Yams, HSI, NIRS, infrared spectrophotometry, Hardness, Food analysis,
Online Access:https://doi.org/10.18167/DVN1/UP4ND3
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id dat-cirad-10.18167DVN1UP4ND3
record_format Dataverse
spelling dat-cirad-10.18167DVN1UP4ND32023-02-07T01:00:03ZHyperspectral calibration database on fresh yam to predict hardnesshttps://doi.org/10.18167/DVN1/UP4ND3Meghar, KarimaDavrieux, FabriceCIRAD DataverseThis database contains 152 average spectra from hyper spectral images of fresh yam samples acquired in CIRAD (France). Image were collected using a Specim FX17 hyper spectral camera. Seven different varieties from the Yam collection in Guadeloupe were used for the study. This database contains also textural data measured on the same yam samples: Hardness. Data was acquired using MEGHAR, K., DAVRIEUX, F., & ALAMU, E. (2020). SOP for Hyperspectral Imaging Analysis of Fresh RTB Crops. High-Throughput Phenotyping Protocols (HTPP), WP3. Montpellier, France: RTBfoods Project Report, 12 p.Agricultural SciencesFresh intact yamYamsHSINIRSinfrared spectrophotometryHardnessFood analysisEnglishAsiimwe, AmosDavrieux, Fabrice (CIRAD, Qualisud, France)Physico-chemical DataSpectral Data
institution CIRAD FR
collection Dataverse
country Francia
countrycode FR
component Datos de investigación
access En linea
En linea
databasecode dat-cirad
tag biblioteca
region Europa del Oeste
libraryname Centre de coopération internationale en recherche agronomique pour le développement
language English
topic Agricultural Sciences
Fresh intact yam
Yams
HSI
NIRS
infrared spectrophotometry
Hardness
Food analysis
Agricultural Sciences
Fresh intact yam
Yams
HSI
NIRS
infrared spectrophotometry
Hardness
Food analysis
spellingShingle Agricultural Sciences
Fresh intact yam
Yams
HSI
NIRS
infrared spectrophotometry
Hardness
Food analysis
Agricultural Sciences
Fresh intact yam
Yams
HSI
NIRS
infrared spectrophotometry
Hardness
Food analysis
Meghar, Karima
Davrieux, Fabrice
Hyperspectral calibration database on fresh yam to predict hardness
description This database contains 152 average spectra from hyper spectral images of fresh yam samples acquired in CIRAD (France). Image were collected using a Specim FX17 hyper spectral camera. Seven different varieties from the Yam collection in Guadeloupe were used for the study. This database contains also textural data measured on the same yam samples: Hardness. Data was acquired using MEGHAR, K., DAVRIEUX, F., & ALAMU, E. (2020). SOP for Hyperspectral Imaging Analysis of Fresh RTB Crops. High-Throughput Phenotyping Protocols (HTPP), WP3. Montpellier, France: RTBfoods Project Report, 12 p.
author2 Asiimwe, Amos
author_facet Asiimwe, Amos
Meghar, Karima
Davrieux, Fabrice
format Physico-chemical Data
topic_facet Agricultural Sciences
Fresh intact yam
Yams
HSI
NIRS
infrared spectrophotometry
Hardness
Food analysis
author Meghar, Karima
Davrieux, Fabrice
author_sort Meghar, Karima
title Hyperspectral calibration database on fresh yam to predict hardness
title_short Hyperspectral calibration database on fresh yam to predict hardness
title_full Hyperspectral calibration database on fresh yam to predict hardness
title_fullStr Hyperspectral calibration database on fresh yam to predict hardness
title_full_unstemmed Hyperspectral calibration database on fresh yam to predict hardness
title_sort hyperspectral calibration database on fresh yam to predict hardness
publisher CIRAD Dataverse
url https://doi.org/10.18167/DVN1/UP4ND3
work_keys_str_mv AT megharkarima hyperspectralcalibrationdatabaseonfreshyamtopredicthardness
AT davrieuxfabrice hyperspectralcalibrationdatabaseonfreshyamtopredicthardness
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