|
| Type of publication: | Article |
| Entered by: | |
| Title | Accuracy of a smartphone-based object detection model, PlantVillage Nuru, in identifying the foliar symptoms of the viral diseases of cassava-CMD and CBSD |
| Bibtex cite ID | MRISHO:2020 |
| Journal | Frontiers in Plant Science |
| Year published | 2020 |
| Volume | 11 |
| Number | : 590889 |
| Pages | 1-14 |
| ISSN | 1664-462X |
| Note | EAHub; Science Area PPPH; RTB; Cassava; Published 18 December 2020 |
| URL | https://doi.org/10.3389/fpls.2020.590889 |
| DOI | 10.3389/fpls.2020.590889 |
| Peer Reviewed? | Yes |
| In Thomson Index? | Yes |
| Developing Country Author? | No |
| Make Attachment Public? | TRUE |
| Authors | |
Topics
| |
| BibTeX | BibTeX |
| RIS | RIS |
| Total mark: | 5 |
[Add a new note...] |
|