Big data in agriculture and nutrition
The food system community sees a huge potential for big data in agriculture to lift farmers out of poverty (Patel, 2013), and ensure that parents can feed their children nutritious, diverse foods (Lung’aho, 2018). In the USA, venture capitalists spent US$3 billion on ‘agtech’ (digital technology in...
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| Formato: | Capítulo de libro |
| Lenguaje: | Inglés |
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International Food Policy Research Institute
2019
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| Acceso en línea: | https://hdl.handle.net/10568/146321 |
| _version_ | 1855519977046540288 |
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| author | Musker, Ruthie |
| author_browse | Musker, Ruthie |
| author_facet | Musker, Ruthie |
| author_sort | Musker, Ruthie |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The food system community sees a huge potential for big data in agriculture to lift farmers out of poverty (Patel, 2013), and ensure that parents can feed their children nutritious, diverse foods (Lung’aho, 2018). In the USA, venture capitalists spent US$3 billion on ‘agtech’ (digital technology in agriculture) in 2016, with 46% of investors focusing on big data and analytics (Walker et al., 2016). Large data initiatives such as the CGIAR’s Big Data in Agriculture Platform have made thousands of datasets and publications available (Pineda, 2018). In order to establish a global data ecosystem that yields powerful insights and recommendations on the ways in which agriculture can improve nutrition, the community must ensure that the benefits of big data are for the betterment of all and not only for the few. |
| format | Book Chapter |
| id | CGSpace146321 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1463212025-12-08T10:29:22Z Big data in agriculture and nutrition Musker, Ruthie data nutrition-sensitive agriculture nutrition policies agricultural policies open data sustainability nutrition agricultural development big data food systems The food system community sees a huge potential for big data in agriculture to lift farmers out of poverty (Patel, 2013), and ensure that parents can feed their children nutritious, diverse foods (Lung’aho, 2018). In the USA, venture capitalists spent US$3 billion on ‘agtech’ (digital technology in agriculture) in 2016, with 46% of investors focusing on big data and analytics (Walker et al., 2016). Large data initiatives such as the CGIAR’s Big Data in Agriculture Platform have made thousands of datasets and publications available (Pineda, 2018). In order to establish a global data ecosystem that yields powerful insights and recommendations on the ways in which agriculture can improve nutrition, the community must ensure that the benefits of big data are for the betterment of all and not only for the few. 2019-02-14 2024-06-21T09:06:37Z 2024-06-21T09:06:37Z Book Chapter https://hdl.handle.net/10568/146321 en https://doi.org/10.1079/9781786399311.0000 Open Access application/pdf International Food Policy Research Institute CAB International Musker, Ruthie. 2019. Big data in agriculture and nutrition. In Agriculture for improved nutrition: Seizing the momentum. Chapter 14. Fan, Shenggen; Yosef, Sivan; Pandya-Lorch, Rajul (Eds.). Wallingford, UK: International Food Policy Research Institute (IFPRI) and CABI. https://hdl.handle.net/10568/146321 |
| spellingShingle | data nutrition-sensitive agriculture nutrition policies agricultural policies open data sustainability nutrition agricultural development big data food systems Musker, Ruthie Big data in agriculture and nutrition |
| title | Big data in agriculture and nutrition |
| title_full | Big data in agriculture and nutrition |
| title_fullStr | Big data in agriculture and nutrition |
| title_full_unstemmed | Big data in agriculture and nutrition |
| title_short | Big data in agriculture and nutrition |
| title_sort | big data in agriculture and nutrition |
| topic | data nutrition-sensitive agriculture nutrition policies agricultural policies open data sustainability nutrition agricultural development big data food systems |
| url | https://hdl.handle.net/10568/146321 |
| work_keys_str_mv | AT muskerruthie bigdatainagricultureandnutrition |