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| Type of publication: | Article |
| Entered by: | |
| Title | Convolutional neural network allows amylose content prediction in yam (Dioscorea alata L.) flour using near infrared spectroscopy |
| Bibtex cite ID | HOUNGBO:2023 |
| Journal | Journal of the Science of Food and Agriculture |
| Year published | 2023 |
| Pages | 1-15 |
| ISSN | 0022-5142 |
| Note | SAHub; Science Area NHH; RTB; Yam; First Published 03 July 2023 |
| URL | https://doi.org/10.1002/jsfa.12825 |
| DOI | 10.1002/jsfa.12825 |
| Peer Reviewed? | Yes |
| In Thomson Index? | Yes |
| Developing Country Author? | Yes |
| Make Attachment Public? | FALSE |
| Authors |
| Houngbo, M. E. |
| Desfontaines, L. |
| Diman, J. L. |
| Arnau, G. |
| Mestres, C. |
| Davrieux, F. |
| Rouan, L. |
| Beurier, G. |
| Marie-Magdeleine, C. |
| Meghar, K. |
| Alamu, E. O. |
| Otegbayo, B.* |
| Cornet, D. |
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Topics
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| BibTeX | BibTeX |
| RIS | RIS |
| Total mark: | 5 |
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