Data and code for "Machine learning can guide food security efforts when primary data is not available"

Giulia Martini (Creator)
Alberto Bracci (Creator)
Lorenzo Riches (Creator)
Sejal Jaiswal (Creator)
Matteo Corea (Creator)
Jonathan Rivers (Creator)
Arif Husain (Creator)
Elisa Omodei (Creator)

Department of Network and Data Science

Dataset

Description

Data and code repository for the paper "Machine learning can guide food security efforts when primary data is not available" by Giulia Martini, Alberto Bracci, Lorenzo Riches, Sejal Jaiswal, Matteo Corea, Jonathan Rivers, Arif Husain, and Elisa Omodei.

Date made available	3 Aug 2022
Publisher	ZENODO

DOI
10.1101/2021.06.23.21259419

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1 Article

Machine learning can guide food security efforts when primary data are not available
Martini, G., Bracci, A., Riches, L., Jaiswal, S., Corea, M., Rivers, J., Husain, A. & Omodei, E., Sep 2022, In: Nature Food. 3, 9, p. 716-728 13 p.
Research output: Contribution to journal › Article › peer-review

Data and code for "Machine learning can guide food security efforts when primary data is not available"

Description

DOI

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Research output

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

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