| Type of publication: | Article |
| Entered by: | |
| Title | Evaluating the dry matter content of raw yams using hyperspectral imaging spectroscopy and machine learning |
| Bibtex cite ID | ADESOKAN:2024a |
| Journal | Journal of Food Composition and Analysis |
| Year published | 2024 |
| Volume | 135 |
| Number | -: 106692 |
| Pages | 1-12 |
| ISSN | 0889-1575 |
| Note | WAHub; Science Area NHH; RTB; Yam; Available online 30 August 2024 |
| URL | https://doi.org/10.1016/j.jfca.2024.106692 |
| DOI | 10.1016/j.jfca.2024.106692 |
| Peer Reviewed? | Yes |
| In Thomson Index? | Yes |
| Developing Country Author? | Yes |
| Make Attachment Public? | TRUE |
| Authors | |
Topics
| |
| BibTeX | BibTeX |
| RIS | RIS |
| Total mark: | 5 |
[Add a new note...] |