Publication
| Type of publication: | Article | |||||
| Entered by: | ||||||
| Title | Assessing countrywide soil organic carbon stock using hybrid machine learning modelling and legacy soil data in Cameroon | |||||
| Bibtex cite ID | SILATSA:2020 | |||||
| Journal | Geoderma | |||||
| Year published | 2020 | |||||
| Volume | 367 | |||||
| Number | -: 114260 | |||||
| Pages | 1-13 | |||||
| ISSN | 0016-7061 | |||||
| Note | CAHub; | |||||
| URL | https://doi.org/10.1016/j.geoderma.2020.114260 | |||||
| DOI | 10.1016/j.geoderma.2020.114260 | |||||
| Peer Reviewed? | Yes | |||||
| In Thomson Index? | Yes | |||||
| Developing Country Author? | Yes | |||||
| Make Attachment Public? | FALSE | |||||
| Authors |
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| Topics | ||||||
| BibTeX | BibTeX | |||||
| RIS | RIS | |||||
| Total mark: | 5 | |||||
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