Hyperspectral calibration database on fresh yam to predict hardness

Regions
  • Caribbean
  • Latin America and the Caribbean
  • Americas
  • World
  • Western Europe
  • Europe
  • South America
From French Agricultural Research Centre for International Development (CIRAD)
Publication year 2023
Publication authors
  • Meghar, Karima
  • Davrieux, Fabrice
Publication Type Dataset / Tabular
DOI https://doi.org/10.18167/DVN1/UP4ND3
Full Citation Meghar, Karima; Davrieux, Fabrice, 2023, "Hyperspectral calibration database on fresh yam to predict hardness", https://doi.org/10.18167/DVN1/UP4ND3, CIRAD Dataverse, V1
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Abstract

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.