Real-time artificial intelligence driven diagnostic that can be used to assess diets
The development of an artificial-intelligence (AI) app for mobile devices began in 2020 with some initial pilot testing among adolescent girls in urban areas of Ghana and Vietnam., which will continue in 2021.
| Autor principal: | |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/122784 |
| _version_ | 1855519712631324672 |
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| 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 | The development of an artificial-intelligence (AI) app for mobile devices began in 2020 with some initial pilot testing among adolescent girls in urban areas of Ghana and Vietnam., which will continue in 2021. |
| format | Informe técnico |
| id | CGSpace122784 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| record_format | dspace |
| spelling | CGSpace1227842023-03-14T11:49:17Z Real-time artificial intelligence driven diagnostic that can be used to assess diets CGIAR Research Program on Agriculture for Nutrition and Health development rural development urban areas systems testing agrifood systems artificial intelligence time diagnostic The development of an artificial-intelligence (AI) app for mobile devices began in 2020 with some initial pilot testing among adolescent girls in urban areas of Ghana and Vietnam., which will continue in 2021. 2020-12-31 2022-10-06T14:08:25Z 2022-10-06T14:08:25Z Report https://hdl.handle.net/10568/122784 en Open Access application/pdf CGIAR Research Program on Agriculture for Nutrition and Health. 2020. Real-time artificial intelligence driven diagnostic that can be used to assess diets. Reported in Agriculture for Nutrition and Health Annual Report 2020. Innovations. |
| spellingShingle | development rural development urban areas systems testing agrifood systems artificial intelligence time diagnostic CGIAR Research Program on Agriculture for Nutrition and Health Real-time artificial intelligence driven diagnostic that can be used to assess diets |
| title | Real-time artificial intelligence driven diagnostic that can be used to assess diets |
| title_full | Real-time artificial intelligence driven diagnostic that can be used to assess diets |
| title_fullStr | Real-time artificial intelligence driven diagnostic that can be used to assess diets |
| title_full_unstemmed | Real-time artificial intelligence driven diagnostic that can be used to assess diets |
| title_short | Real-time artificial intelligence driven diagnostic that can be used to assess diets |
| title_sort | real time artificial intelligence driven diagnostic that can be used to assess diets |
| topic | development rural development urban areas systems testing agrifood systems artificial intelligence time diagnostic |
| url | https://hdl.handle.net/10568/122784 |
| work_keys_str_mv | AT cgiarresearchprogramonagriculturefornutritionandhealth realtimeartificialintelligencedrivendiagnosticthatcanbeusedtoassessdiets |