A protocol for measuring cassava bacterial blight disease progression, using machine-learning image analysis
| dc.creator | Pardo, JM | |
| dc.creator | Jimenez, J | |
| dc.creator | Rodríguez, R. | |
| dc.creator | Leiva, A.M | |
| dc.creator | Cuéllar, Wilmer Jose | |
| dc.date | 2023-06 | |
| dc.date | 2023-08-22T09:23:58Z | |
| dc.date | 2023-08-22T09:23:58Z | |
| dc.date.accessioned | 2026-06-27T13:26:01Z | |
| dc.format | application/pdf | |
| dc.identifier | https://hdl.handle.net/10568/131612 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/59239 | |
| dc.language | en | |
| dc.rights | Open Access | |
| dc.source | Pardo, J.; Jimenez, J.; Rodriguez, R.; Leiva, A.M.; Cuellar, W. (2023) A protocol for measuring cassava bacterial blight disease progression, using machine -learning image analysis. Cassava Program, Palmira, 20 June 2023.13 sl. | |
| dc.subject | bacterial diseases | |
| dc.subject | technology adoption | |
| dc.subject | disease surveillance | |
| dc.subject | insect diseases | |
| dc.subject | african cassava mosaic virus | |
| dc.title | A protocol for measuring cassava bacterial blight disease progression, using machine-learning image analysis | |
| dc.type | Presentation |
