Validation of AI tools for disease recognition at large scale, available via a digital platform to support surveillance and breeding for resistance
| dc.creator | Rodríguez, Rafael | |
| dc.creator | Cuéllar, Wilmer Jose | |
| dc.creator | Mwanzia, Leroy | |
| dc.date | 2023-12 | |
| dc.date | 2024-02-01T08:52:12Z | |
| dc.date | 2024-02-01T08:52:12Z | |
| dc.date.accessioned | 2026-06-27T13:36:01Z | |
| dc.format | application/pdf | |
| dc.identifier | https://hdl.handle.net/10568/138754 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/64469 | |
| dc.language | es | |
| dc.rights | Limited Access | |
| dc.source | Rodriguez, R.; Cuellar, W.; Mwanzia, L. (2023) Validation of AI tools for disease recognition at large scale, available via a digital platform to support surveillance and breeding for resistance. 12 p. | |
| dc.subject | cassava | |
| dc.subject | artificial intelligence | |
| dc.subject | inteligencia artificial | |
| dc.subject | mandioca | |
| dc.subject | visual inspection | |
| dc.subject | disease recognition | |
| dc.subject | examen visual | |
| dc.title | Validation of AI tools for disease recognition at large scale, available via a digital platform to support surveillance and breeding for resistance | |
| dc.type | Internal Document |
