Food security analysis and forecasting: A machine learning case study in southern Malawi

Food security analysis and forecasting: A machine learning case study in southern Malawi

Chronic food insecurity remains a challenge globally, exacerbated by climate change-driven shocks such as droughts and floods. Forecasting food insecurity levels and targeting vulnerable households is apriority for humanitarian programming to ensure timely delivery of assistance. In this study, we p...

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Bibliographic Details
Main Authors: Shahrzad Gholami, Erwin Knippenberg, James Campbell, Daniel Andriantsimba, Anusheel Kamle, Pavitraa Parthasarathy, Ria Sankar, Cameron Birge, Juan Lavista Ferres
Format: Article
Language:English
Published: Cambridge University Press 2022-01-01
Series:Data & Policy
Subjects:
data-driven modeling
food security
forecasting
machine learning
panel datasets
Online Access:https://www.cambridge.org/core/product/identifier/S2632324922000256/type/journal_article

Internet

https://www.cambridge.org/core/product/identifier/S2632324922000256/type/journal_article

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