HSI_spectral_data
dc.contributor.author | Nturambirwe, Jean | |
dc.date.accessioned | 2024-09-25T08:54:41Z | |
dc.date.available | 2024-09-25T08:54:41Z | |
dc.date.issued | 2021 | |
dc.description | This data set comprises spectral data extracted from Shortwave infrared hyperspectral images of apple tissues that are either have or are free from defects, specifically mechanical impact damages. The images were acquired at different times after impacts of varying magnitudes and the data labels (identifiers, classes, etc.) were created in line with these specifications. | |
dc.identifier.citation | Nturambirwe, Jean (2021). HSI_spectral_Data.xlsx. University of Western Cape. Dataset. https://doi.org/10.25379/uwc.14906691.v1 | |
dc.identifier.uri | https://doi.org/10.25379/uwc.14906691.v1 | |
dc.identifier.uri | https://hdl.handle.net/10566/16186 | |
dc.publisher | University of the Western Cape | |
dc.subject | Machine Learning | |
dc.subject | Hyperspectral data | |
dc.subject | Defect detection | |
dc.subject | Post Harvest Horticultural Technologies (incl. Transportation and Storage) | |
dc.subject | Signal Processing | |
dc.title | HSI_spectral_data | |
dc.type | Dataset |
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