Hyperspectral calibration database on fresh yam to predict dry matter content
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https://dataverse.cirad.fr/citation?persistentId=doi:10.18167/DVN1/JUV9IY
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资源简介:
This database contains 154 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 laboratory data measured on the same yam samples: Dry matter content. 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.
提供机构:
CIRAD Dataverse
创建时间:
2022-10-27



