Mining the gaps: Using machine learning to map 1.2 million agri-food publications from the Global South
| cg.contributor.crp | Water, Land and Ecosystems | en_US |
| cg.identifier.wletheme | Enhancing Sustainability Across Agricultural Systems | en_US |
| cg.number | 3 | en_US |
| cg.place | Colombo, Sri Lanka | en_US |
| cg.subject.wle | AGRICULTURAL PRODUCTION | en_US |
| cg.subject.wle | INNOVATION | en_US |
| cg.subject.wle | INTENSIFICATION | en_US |
| dc.contributor.author | Commission on Sustainable Agriculture Intensification | en_US |
| dc.date.accessioned | 2022-06-15T09:16:50Z | en_US |
| dc.date.available | 2022-06-15T09:16:50Z | en_US |
| dc.identifier.uri | https://hdl.handle.net/10568/119841 | en_US |
| dc.title | Mining the gaps: Using machine learning to map 1.2 million agri-food publications from the Global South | en_US |
| dcterms.accessRights | Open Access | en_US |
| dcterms.bibliographicCitation | 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 | en_US |
| dcterms.isPartOf | CoSAI Policy Brief | en_US |
| dcterms.issued | 2021-12 | en_US |
| dcterms.language | en | en_US |
| dcterms.publisher | Commission on Sustainable Agriculture Intensification | en_US |
| dcterms.relation | https://hdl.handle.net/10568/119437 | en_US |
| dcterms.subject | sustainable agriculture | en_US |
| dcterms.type | Brief | en_US |
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