A review of the use of Near-Infrared Hyperspectral Imaging (NIR-HSI) techniques for the non-destructive quality assessment of root and tuber crops
Hyperspectral imaging (HSI) is one of the most often used techniques for rapid quality evaluation for various applications. It is a non-destructive technique that effectively evaluates the quality attributes of root and tuber crops, including yam and cassava, and their food products. Hyperspectral i...
| Autores principales: | , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
MDPI
2023
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| Acceso en línea: | https://hdl.handle.net/10568/130269 |
| _version_ | 1855519081603530752 |
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| author | Adesokan, M. Alamu, E.O. Otegbayo, B. Maziya-Dixon, B. |
| author_browse | Adesokan, M. Alamu, E.O. Maziya-Dixon, B. Otegbayo, B. |
| author_facet | Adesokan, M. Alamu, E.O. Otegbayo, B. Maziya-Dixon, B. |
| author_sort | Adesokan, M. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Hyperspectral imaging (HSI) is one of the most often used techniques for rapid quality evaluation for various applications. It is a non-destructive technique that effectively evaluates the quality attributes of root and tuber crops, including yam and cassava, and their food products. Hyperspectral imaging technology, which combines spectroscopy and imaging principles, has an advantage over conventional spectroscopy due to its ability to simultaneously evaluate the physical characteristics and chemical components of various food products and specify their spatial distributions. HSI has demonstrated significant potential for obtaining quick information regarding the chemical composition of the root and tuber, such as starch, protein, dry matter, amylose, and soluble sugars, as well as physical characteristics such as textural properties and water binding capacity. This review highlights the principles of near-infrared hyperspectral imaging (NIR-HSI) techniques combined with relevant image processing tools. It then provides cases of its application in determining crucial biochemical quality traits and textural attributes of roots and tuber crops, focusing on cassava and yam. The need for more information on using NIR-HSI in the quality evaluation of yam and cassava was underscored. It also presents the challenges and prospects of this technology. |
| format | Journal Article |
| id | CGSpace130269 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | CGSpace1302692025-12-08T10:29:22Z A review of the use of Near-Infrared Hyperspectral Imaging (NIR-HSI) techniques for the non-destructive quality assessment of root and tuber crops Adesokan, M. Alamu, E.O. Otegbayo, B. Maziya-Dixon, B. spectroscopy evaluation yams cassava breeding processing value chain Hyperspectral imaging (HSI) is one of the most often used techniques for rapid quality evaluation for various applications. It is a non-destructive technique that effectively evaluates the quality attributes of root and tuber crops, including yam and cassava, and their food products. Hyperspectral imaging technology, which combines spectroscopy and imaging principles, has an advantage over conventional spectroscopy due to its ability to simultaneously evaluate the physical characteristics and chemical components of various food products and specify their spatial distributions. HSI has demonstrated significant potential for obtaining quick information regarding the chemical composition of the root and tuber, such as starch, protein, dry matter, amylose, and soluble sugars, as well as physical characteristics such as textural properties and water binding capacity. This review highlights the principles of near-infrared hyperspectral imaging (NIR-HSI) techniques combined with relevant image processing tools. It then provides cases of its application in determining crucial biochemical quality traits and textural attributes of roots and tuber crops, focusing on cassava and yam. The need for more information on using NIR-HSI in the quality evaluation of yam and cassava was underscored. It also presents the challenges and prospects of this technology. 2023 2023-05-08T08:44:23Z 2023-05-08T08:44:23Z Journal Article https://hdl.handle.net/10568/130269 en Open Access application/pdf MDPI Adesokan, M., Alamu, E. O., Otegbayo, B., & Maziya-Dixon, B. (2023). A review of the use of Near-Infrared Hyperspectral Imaging (NIR-HSI) techniques for the non-destructive quality assessment of root and tuber crops. Applied Sciences, 13(9), 1-17. |
| spellingShingle | spectroscopy evaluation yams cassava breeding processing value chain Adesokan, M. Alamu, E.O. Otegbayo, B. Maziya-Dixon, B. A review of the use of Near-Infrared Hyperspectral Imaging (NIR-HSI) techniques for the non-destructive quality assessment of root and tuber crops |
| title | A review of the use of Near-Infrared Hyperspectral Imaging (NIR-HSI) techniques for the non-destructive quality assessment of root and tuber crops |
| title_full | A review of the use of Near-Infrared Hyperspectral Imaging (NIR-HSI) techniques for the non-destructive quality assessment of root and tuber crops |
| title_fullStr | A review of the use of Near-Infrared Hyperspectral Imaging (NIR-HSI) techniques for the non-destructive quality assessment of root and tuber crops |
| title_full_unstemmed | A review of the use of Near-Infrared Hyperspectral Imaging (NIR-HSI) techniques for the non-destructive quality assessment of root and tuber crops |
| title_short | A review of the use of Near-Infrared Hyperspectral Imaging (NIR-HSI) techniques for the non-destructive quality assessment of root and tuber crops |
| title_sort | review of the use of near infrared hyperspectral imaging nir hsi techniques for the non destructive quality assessment of root and tuber crops |
| topic | spectroscopy evaluation yams cassava breeding processing value chain |
| url | https://hdl.handle.net/10568/130269 |
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