CGIAR Platform for Big Data in Agriculture - Inspire Challenge Review (2017-2020)
This report provides evidence-based insights about the state of digital agricultural innovations through the eyes of the Inspire Challenge, which can help design and support future Digital Agricultural Innovation System (DAIS) in the One CGIAR. The results show that the first phase of the Inspire Ch...
| Main Authors: | , , , , |
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| Format: | Informe técnico |
| Language: | Inglés |
| Published: |
CGIAR Platform for Big Data in Agriculture
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/113597 |
| _version_ | 1855528956681256960 |
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| author | Mockshell, Jonathan Nielsen Ritter, Thea Asante-Addo, Collins Ankamah-Yeboah, Isaac Wong, Kelvin |
| author_browse | Ankamah-Yeboah, Isaac Asante-Addo, Collins Mockshell, Jonathan Nielsen Ritter, Thea Wong, Kelvin |
| author_facet | Mockshell, Jonathan Nielsen Ritter, Thea Asante-Addo, Collins Ankamah-Yeboah, Isaac Wong, Kelvin |
| author_sort | Mockshell, Jonathan |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This report provides evidence-based insights about the state of digital agricultural innovations through the eyes of the Inspire Challenge, which can help design and support future Digital Agricultural Innovation System (DAIS) in the One CGIAR. The results show that the first phase of the Inspire Challenge program was successful at serving as a DAIS enabler by creating partnerships in the digital agricultural ecosystem, which led to digital innovations in food systems. |
| format | Informe técnico |
| id | CGSpace113597 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | CGIAR Platform for Big Data in Agriculture |
| publisherStr | CGIAR Platform for Big Data in Agriculture |
| record_format | dspace |
| spelling | CGSpace1135972025-11-05T11:59:20Z CGIAR Platform for Big Data in Agriculture - Inspire Challenge Review (2017-2020) Mockshell, Jonathan Nielsen Ritter, Thea Asante-Addo, Collins Ankamah-Yeboah, Isaac Wong, Kelvin agricultural sector digital technology agricultural innovation data partnerships This report provides evidence-based insights about the state of digital agricultural innovations through the eyes of the Inspire Challenge, which can help design and support future Digital Agricultural Innovation System (DAIS) in the One CGIAR. The results show that the first phase of the Inspire Challenge program was successful at serving as a DAIS enabler by creating partnerships in the digital agricultural ecosystem, which led to digital innovations in food systems. 2021-03-29 2021-04-29T07:33:45Z 2021-04-29T07:33:45Z Report https://hdl.handle.net/10568/113597 en Open Access application/pdf CGIAR Platform for Big Data in Agriculture Mockshell, J.; Nielsen Ritter, T.; Asante-Addo, C.; Ankamah-Yeboah, I.; Wong, K. (2021) CGIAR Platform for Big Data in Agriculture - Inspire Challenge Review (2017-2020). CGIAR Platform for Big Data in Agriculture, Cali Colombia. 36 p. |
| spellingShingle | agricultural sector digital technology agricultural innovation data partnerships Mockshell, Jonathan Nielsen Ritter, Thea Asante-Addo, Collins Ankamah-Yeboah, Isaac Wong, Kelvin CGIAR Platform for Big Data in Agriculture - Inspire Challenge Review (2017-2020) |
| title | CGIAR Platform for Big Data in Agriculture - Inspire Challenge Review (2017-2020) |
| title_full | CGIAR Platform for Big Data in Agriculture - Inspire Challenge Review (2017-2020) |
| title_fullStr | CGIAR Platform for Big Data in Agriculture - Inspire Challenge Review (2017-2020) |
| title_full_unstemmed | CGIAR Platform for Big Data in Agriculture - Inspire Challenge Review (2017-2020) |
| title_short | CGIAR Platform for Big Data in Agriculture - Inspire Challenge Review (2017-2020) |
| title_sort | cgiar platform for big data in agriculture inspire challenge review 2017 2020 |
| topic | agricultural sector digital technology agricultural innovation data partnerships |
| url | https://hdl.handle.net/10568/113597 |
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