Hyperspectral calibration database on cooked cassava to predict dry matter content
This database contains 100 NIR average spectra of HSI images of cooked 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 cooking. Twelve roots were used an...
| Main Authors: | , , |
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| Format: | Conjunto de datos |
| Language: | Inglés |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/132448 |
| _version_ | 1855543399687389184 |
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| author | Meghar, Karima Tran, Thierry Ospina Portilla, Maria Alejandra |
| author_browse | Meghar, Karima Ospina Portilla, Maria Alejandra Tran, Thierry |
| author_facet | Meghar, Karima Tran, Thierry Ospina Portilla, Maria Alejandra |
| author_sort | Meghar, Karima |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This database contains 100 NIR average spectra of HSI images of cooked 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 cooking. Twelve roots were used and each root is divided into six semicylinders. The semicylinders number 03,43,103 and 114 were 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, 14 p. (2022-10-19) |
| format | Conjunto de datos |
| id | CGSpace132448 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| record_format | dspace |
| spelling | CGSpace1324482024-04-25T06:02:00Z Hyperspectral calibration database on cooked cassava to predict dry matter content Meghar, Karima Tran, Thierry Ospina Portilla, Maria Alejandra dry matter food analysis infrared spectrophotometry This database contains 100 NIR average spectra of HSI images of cooked 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 cooking. Twelve roots were used and each root is divided into six semicylinders. The semicylinders number 03,43,103 and 114 were 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, 14 p. (2022-10-19) 2023-02-06 2023-10-25T15:02:53Z 2023-10-25T15:02:53Z Dataset https://hdl.handle.net/10568/132448 en Limited Access Meghar, K.; Tran, T.; Ospina Portilla, M.A. (2023) Hyperspectral calibration database on cooked cassava to predict dry matter content. https://doi.org/10.18167/DVN1/FP4SDB |
| spellingShingle | dry matter food analysis infrared spectrophotometry Meghar, Karima Tran, Thierry Ospina Portilla, Maria Alejandra Hyperspectral calibration database on cooked cassava to predict dry matter content |
| title | Hyperspectral calibration database on cooked cassava to predict dry matter content |
| title_full | Hyperspectral calibration database on cooked cassava to predict dry matter content |
| title_fullStr | Hyperspectral calibration database on cooked cassava to predict dry matter content |
| title_full_unstemmed | Hyperspectral calibration database on cooked cassava to predict dry matter content |
| title_short | Hyperspectral calibration database on cooked cassava to predict dry matter content |
| title_sort | hyperspectral calibration database on cooked cassava to predict dry matter content |
| topic | dry matter food analysis infrared spectrophotometry |
| url | https://hdl.handle.net/10568/132448 |
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