AI-powered high-throughput phenotyping of seed yield in Urochloa: a deep learning approach
| dc.creator | Arrechea Castillo, Darwin Alexis | |
| dc.creator | Espitia Buitrago, Paula | |
| dc.creator | Arboleda, Ronald David | |
| dc.creator | Florian Vargas, David | |
| dc.creator | Jauregui, Rosa Noemi | |
| dc.creator | Cardoso, Juan Andres | |
| dc.date | 2024-10-07 | |
| dc.date | 2024-11-20T12:03:14Z | |
| dc.date | 2024-11-20T12:03:14Z | |
| dc.date.accessioned | 2026-06-27T13:34:01Z | |
| dc.format | application/pdf | |
| dc.identifier | https://hdl.handle.net/10568/159969 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/63430 | |
| dc.language | en | |
| dc.rights | Open Access | |
| dc.source | Arrechea Castillo, D.A.; Espitia Buitrago, P.; Arboleda, R.D.; Florian Vargas, D.; Jauregui, R.N.; Cardoso, J.A. (2024) AI-powered high-throughput phenotyping of seed yield in Urochloa: a deep learning approach. Poster prepared for the 8th International Plant Phenotyping Symposium. Nebraska (USA), 7-11 October 2024. 1 p. | |
| dc.subject | artificial intelligence | |
| dc.subject | innovation | |
| dc.subject | technology | |
| dc.subject | seed production | |
| dc.subject | phenotyping | |
| dc.subject | racemes | |
| dc.title | AI-powered high-throughput phenotyping of seed yield in Urochloa: a deep learning approach | |
| dc.type | Poster |
