Publication
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 | |
Topics | |
BibTeX | BibTeX |
RIS | RIS |
Total mark: | 5 |
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