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Machine learning can guide food security efforts when primary data are not available

Published Online: 2022-09-15

Authors

Martini, Giulia https://orcid.org/0000-0002-9611-2191
Bracci, Alberto https://orcid.org/0000-0002-9506-5645
Riches, Lorenzo

Jaiswal, Sejal

Corea, Matteo

Rivers, Jonathan

Husain, Arif

Omodei, Elisa https://orcid.org/0000-0002-6748-5124
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Text and Data Mining valid from 2022-09-15

Version of Record valid from 2022-09-15
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Article History

Received: 25 June 2021

Accepted: 9 August 2022

First Online: 15 September 2022

Competing interests

: The authors declare no competing interests. The content and views expressed in this paper are solely those of the authors and do not necessarily reflect the official views of the UN World Food Programme.

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