Mining the gaps:using machine learning to map a million data points from agricultural research from the global south

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cg.contributor.crpWater, Land and Ecosystems
cg.identifier.wlethemeEnhancing Sustainability Across Agricultural Systems
cg.placeColombo, Sri Lankaen
cg.subject.wleAGRICULTURAL PRODUCTIONen
cg.subject.wleFOOD SYSTEMSen
cg.subject.wleLIVELIHOODSen
dc.contributor.authorPorciello, J.en
dc.contributor.authorLipper, L.en
dc.contributor.authorBourne, T.en
dc.contributor.authorIvanina, M.en
dc.contributor.authorLin, S.en
dc.contributor.authorLangleben, S.en
dc.date.accessioned2022-05-02T08:26:19Zen
dc.date.available2022-05-02T08:26:19Zen
dc.identifier.urihttps://hdl.handle.net/10568/119437
dc.titleMining the gaps:using machine learning to map a million data points from agricultural research from the global southen
dcterms.abstractWe’re entering a new era in agriculture, one that moves beyond a purely production-oriented vision and recognizes its role in contributing to a food system that prioritizes people’s livelihoods and nutrition, as well as environmental and climate outcomes. This shift in thinking will require major shifts in policy, research, and investment. But where should these investments go? What foundations should be strengthened? Which gaps need filling? What’s working? What’s not? In order to answer these questions in an informed way, we need to examine the evidence that exists and identify areas where more research is needed.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationPorciello, J.; Lipper, L.; Bourne, T.; Ivanina, M.; Lin, S.; Langleben, S. 2021. Mining the gaps:using machine learning to map a million data points from agricultural research from the global south. Colombo, Sri Lanka: CGIAR Research Program on Water, Land and Ecosystems (WLE). 22p.en
dcterms.extent22p.en
dcterms.issued2021-12-01
dcterms.languageen
dcterms.licenseCC-BY-NC-ND
dcterms.publisherCGIAR Research Program on Water, Land and Ecosystemsen
dcterms.subjectagricultural researchen
dcterms.subjectnutritionen
dcterms.subjectartificial intelligenceen
dcterms.subjectmachine learningen
dcterms.typeReport

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Enhancing Sustainability across Agricultural Systems