Publication
| Type of publication: | Article | |||||
| Entered by: | ||||||
| Title | Modelling agricultural drought: a review of latest advances in big data technologies | |||||
| Bibtex cite ID | HOUMMA:2022 | |||||
| Journal | Geomatics, Natural Hazards and Risk | |||||
| Year published | 2022 | |||||
| Volume | 13 | |||||
| Number | 1 | |||||
| Pages | 2737-2776 | |||||
| ISSN | 1947-5705 | |||||
| Note | WAHub; Published online 12 Oct 2022 | |||||
| URL | https://doi.org/10.1080/19475705.2022.2131471 | |||||
| DOI | 10.1080/19475705.2022.2131471 | |||||
| Peer Reviewed? | Yes | |||||
| In Thomson Index? | Yes | |||||
| Developing Country Author? | Yes | |||||
| Make Attachment Public? | TRUE | |||||
| Authors |
| |||||
| Topics | ||||||
| BibTeX | BibTeX | |||||
| RIS | RIS | |||||
| Total mark: | 5 | |||||
Contact Us:–
IITA-Library@cgiar.org