Mining the gaps: Using machine learning to map 1.2 million agri-food publications from the Global South

cg.contributor.crpWater, Land and Ecosystems
cg.identifier.wlethemeEnhancing Sustainability Across Agricultural Systems
cg.number3en
cg.placeColombo, Sri Lankaen
cg.subject.wleAGRICULTURAL PRODUCTIONen
cg.subject.wleINNOVATIONen
cg.subject.wleINTENSIFICATIONen
dc.contributor.authorCommission on Sustainable Agriculture Intensificationen
dc.date.accessioned2022-06-15T09:16:50Zen
dc.date.available2022-06-15T09:16:50Zen
dc.identifier.urihttps://hdl.handle.net/10568/119841
dc.titleMining the gaps: Using machine learning to map 1.2 million agri-food publications from the Global Southen
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationCommission 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 Intensificationen
dcterms.isPartOfCoSAI Policy Briefen
dcterms.issued2021-12
dcterms.languageen
dcterms.publisherCommission on Sustainable Agriculture Intensificationen
dcterms.relationhttps://hdl.handle.net/10568/119437en
dcterms.subjectsustainable agricultureen
dcterms.typeBrief

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