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| Type of publication: | Article |
| Entered by: | |
| Title | Harnessing data science to improve integrated management of invasive pest species across Africa: An application to Fall armyworm (Spodoptera frugiperda) (J.E. Smith) (Lepidoptera: Noctuidae) |
| Bibtex cite ID | GUIMAPI:2022 |
| Journal | Global Ecology and Conservation |
| Year published | 2022 |
| Volume | 35 |
| Number | -: e02056 |
| Pages | 1-22 |
| ISSN | 2351-9894 |
| Note | WAHub; Science Area BPB; PPPH; Available online 11 February 2022 |
| URL | https://doi.org/10.1016/j.gecco.2022.e02056 |
| DOI | 10.1016/j.gecco.2022.e02056 |
| Peer Reviewed? | Yes |
| In Thomson Index? | Yes |
| Developing Country Author? | Yes |
| Make Attachment Public? | TRUE |
| Authors |
| Guimapi, R. A. |
| Niassy, S. |
| Mudereri, B. T. |
| Abdel-Rahman, E. M. |
| Tepa-Yotto, G. |
| Subramanian, S. |
| Mohamed, S. A. |
| Thunes, K. H. |
| Kimathi, E. K. |
| Agboka, K. |
| Tamo, M. |
| Rwaburindi, J. C. |
| Hadi, B. |
| Elkahky, M. |
| Saethre, M. G. |
| Belayneh, Y. T. |
| Ekesi, S. |
| Kelemu, S. |
| Tonnang, H. |
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Topics
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| BibTeX | BibTeX |
| RIS | RIS |
| Total mark: | 5 |
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