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Hyperspectral calibration database on fresh cassava to predict dry matter content

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Title Hyperspectral calibration database on fresh cassava to predict dry matter content
 
Creator Meghar, Karima
Tran, Thierry
Ospina Portilla, Maria Alejandra
 
Subject dry matter
food analysis
infrared spectrophotometry
 
Description This database contains 116 NIR average spectra of HSI images of fresh cassava root acquired in CIAT (Colombia), by using hyper spectral camera Specim FX17. Cassava roots were harvested from 07/03/2022 to 11/03/2022 in CIAT (Colombia) and analysed immediately after harverst. Twelve roots were used and each root is divided into six semicylinders . The semicylinders number 03,43,103 and 114 are used for HSI and DM measurements. 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. (2022-10-19)
 
Date 2023-02-06
2023-10-25T15:02:55Z
2023-10-25T15:02:55Z
 
Type Dataset
 
Identifier Meghar, K.; Tran, T.; Ospina Portilla, M.A. (2023) Hyperspectral calibration database on fresh cassava to predict dry matter content. https://doi.org/10.18167/DVN1/3AIOHE
https://hdl.handle.net/10568/132451
https://doi.org/10.18167/DVN1/3AIOHE
 
Language en
 
Rights CC-BY-4.0
Limited Access