Mining the gaps: Using machine learning to map 1.2 million agri-food publications from the Global South
| Main Author: | |
|---|---|
| Format: | Brief |
| Language: | Inglés |
| Published: |
Commission on Sustainable Agriculture Intensification
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/119841 |
| _version_ | 1855525462568075264 |
|---|---|
| author | Commission on Sustainable Agriculture Intensification |
| author_browse | Commission on Sustainable Agriculture Intensification |
| author_facet | Commission on Sustainable Agriculture Intensification |
| author_sort | Commission on Sustainable Agriculture Intensification |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| format | Brief |
| id | CGSpace119841 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Commission on Sustainable Agriculture Intensification |
| publisherStr | Commission on Sustainable Agriculture Intensification |
| record_format | dspace |
| spelling | CGSpace1198412023-03-14T07:58:23Z Mining the gaps: Using machine learning to map 1.2 million agri-food publications from the Global South Commission on Sustainable Agriculture Intensification sustainable agriculture 2021-12 2022-06-15T09:16:50Z 2022-06-15T09:16:50Z Brief https://hdl.handle.net/10568/119841 en https://hdl.handle.net/10568/119437 Open Access application/pdf Commission on Sustainable Agriculture Intensification Commission on Sustainable Agriculture Intensification. 2021. Mining the gaps: Using machine learning to map 1.2 million agri-food publications from the Global South. CoSAI Policy Brief 3. Colombo, Sri Lanka: Commission on Sustainable Agriculture Intensification |
| spellingShingle | sustainable agriculture Commission on Sustainable Agriculture Intensification Mining the gaps: Using machine learning to map 1.2 million agri-food publications from the Global South |
| title | Mining the gaps: Using machine learning to map 1.2 million agri-food publications from the Global South |
| title_full | Mining the gaps: Using machine learning to map 1.2 million agri-food publications from the Global South |
| title_fullStr | Mining the gaps: Using machine learning to map 1.2 million agri-food publications from the Global South |
| title_full_unstemmed | Mining the gaps: Using machine learning to map 1.2 million agri-food publications from the Global South |
| title_short | Mining the gaps: Using machine learning to map 1.2 million agri-food publications from the Global South |
| title_sort | mining the gaps using machine learning to map 1 2 million agri food publications from the global south |
| topic | sustainable agriculture |
| url | https://hdl.handle.net/10568/119841 |
| work_keys_str_mv | AT commissiononsustainableagricultureintensification miningthegapsusingmachinelearningtomap12millionagrifoodpublicationsfromtheglobalsouth |