Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Improving the accuracy of food security predictions by integrating conflict data

Domaine:

peace and securitysocioeconomic

Type de record:

paper
Créateur:
BerAgnCalCap
Hôte:avatar
Violence and armed conflicts have emerged as prominent factors driving food crises. However, the extent of their impact remains largely unexplored. This paper provides an in-depth analysis of the impact of violent conflicts on food security in Africa. We performed a comprehensive correlation analysis using data from the Famine Early Warning Systems Network (FEWSNET) and the Armed Conflict Location Event Data (ACLED). Our results show that using conflict data to train machine learning models leads to a 1.5% increase in accuracy compared to models that do not incorporate conflict-related information. The key contribution of this study is the quantitative analysis of the impact of conflicts on food security predictions.

Visit

arxiv.org

Tags

Computers and SocietyMachine Learning

Similaires

Integrating Conflict Event DataEthiopian macroeconomic data: food prices and food security Macroeconomics data: food security and food price dataSouth-to-South Cooperation in Multi-Source Satellite Data for Improving Food SecurityThe Potential of Traditional Leafy Vegetables for Improving Food Security in AfricaIntegrating additional spectroscopically inferred soil data improves the accuracy of digital soil mappingSLICKMAN-TYRUS/south-sudan-conflict-food-security-ml

Integrating Conflict Event Data

The growing multitude of sophisticated event-level data collection enables novel analyses of conflic

Ethiopian macroeconomic data: food prices and food security Macroeconomics data: food security and food price data

The data set holds a timeseries data for Ethiopian economy for about 20 years and changed a

South-to-South Cooperation in Multi-Source Satellite Data for Improving Food Security

Abstract. This study aims to highlight the importance of south-to-south cooperation in remote sensin

The Potential of Traditional Leafy Vegetables for Improving Food Security in Africa

Feeding the quickly growing population in Africa remains a global challenge. As the demand for food

Integrating additional spectroscopically inferred soil data improves the accuracy of digital soil mapping

International audience Digital soil mapping has been increasingly advocated as an eff

SLICKMAN-TYRUS/south-sudan-conflict-food-security-ml

Predicting food security phases in South Sudan using Machine Learning and deep learning. # Predicti