Rift Valley fever (RVF) project on Zooniverse, a citizen science platform that allows registered volunteers to identify animals in landscapes from drone imagery
A4NH researchers from the London School of Hygiene and Tropical Medicine set up this project page on Zooniverse, pending beta review and a public launch. In addition to its role in developing transmission models, the data could be used for developing machine learning algorithms to automatically iden...
| Main Author: | |
|---|---|
| Format: | Informe técnico |
| Language: | Inglés |
| Published: |
2021
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/122825 |
| _version_ | 1855517859916021760 |
|---|---|
| author | CGIAR Research Program on Agriculture for Nutrition and Health |
| author_browse | CGIAR Research Program on Agriculture for Nutrition and Health |
| author_facet | CGIAR Research Program on Agriculture for Nutrition and Health |
| author_sort | CGIAR Research Program on Agriculture for Nutrition and Health |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | A4NH researchers from the London School of Hygiene and Tropical Medicine set up this project page on Zooniverse, pending beta review and a public launch. In addition to its role in developing transmission models, the data could be used for developing machine learning algorithms to automatically identity animals in landscapes. |
| format | Informe técnico |
| id | CGSpace122825 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| record_format | dspace |
| spelling | CGSpace1228252023-03-14T11:46:26Z Rift Valley fever (RVF) project on Zooniverse, a citizen science platform that allows registered volunteers to identify animals in landscapes from drone imagery CGIAR Research Program on Agriculture for Nutrition and Health models development rural development data learning systems animals hygiene agrifood systems machine learning rift valley fever algorithms sciences researchers citizen science imagery beta medicine fever A4NH researchers from the London School of Hygiene and Tropical Medicine set up this project page on Zooniverse, pending beta review and a public launch. In addition to its role in developing transmission models, the data could be used for developing machine learning algorithms to automatically identity animals in landscapes. 2021-12-31 2022-10-06T14:09:49Z 2022-10-06T14:09:49Z Report https://hdl.handle.net/10568/122825 en Open Access application/pdf CGIAR Research Program on Agriculture for Nutrition and Health. 2021. Rift Valley fever (RVF) project on Zooniverse, a citizen science platform that allows registered volunteers to identify animals in landscapes from drone imagery. Reported in Agriculture for Nutrition and Health Annual Report 2021. Innovations. |
| spellingShingle | models development rural development data learning systems animals hygiene agrifood systems machine learning rift valley fever algorithms sciences researchers citizen science imagery beta medicine fever CGIAR Research Program on Agriculture for Nutrition and Health Rift Valley fever (RVF) project on Zooniverse, a citizen science platform that allows registered volunteers to identify animals in landscapes from drone imagery |
| title | Rift Valley fever (RVF) project on Zooniverse, a citizen science platform that allows registered volunteers to identify animals in landscapes from drone imagery |
| title_full | Rift Valley fever (RVF) project on Zooniverse, a citizen science platform that allows registered volunteers to identify animals in landscapes from drone imagery |
| title_fullStr | Rift Valley fever (RVF) project on Zooniverse, a citizen science platform that allows registered volunteers to identify animals in landscapes from drone imagery |
| title_full_unstemmed | Rift Valley fever (RVF) project on Zooniverse, a citizen science platform that allows registered volunteers to identify animals in landscapes from drone imagery |
| title_short | Rift Valley fever (RVF) project on Zooniverse, a citizen science platform that allows registered volunteers to identify animals in landscapes from drone imagery |
| title_sort | rift valley fever rvf project on zooniverse a citizen science platform that allows registered volunteers to identify animals in landscapes from drone imagery |
| topic | models development rural development data learning systems animals hygiene agrifood systems machine learning rift valley fever algorithms sciences researchers citizen science imagery beta medicine fever |
| url | https://hdl.handle.net/10568/122825 |
| work_keys_str_mv | AT cgiarresearchprogramonagriculturefornutritionandhealth riftvalleyfeverrvfprojectonzooniverseacitizenscienceplatformthatallowsregisteredvolunteerstoidentifyanimalsinlandscapesfromdroneimagery |