Published August 3, 2022 | Version v1
Software Open

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

  • 1. World Food Programme
  • 2. University of London
  • 3. Central European University

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.

Files

Machine learning can guide food security efforts when primary data is not available.zip