Challenges in Sub-Saharan Africa’s Food Systems and the Potential Role of AI DOI
Petros Chavula, Fredrick Kayusi

LatIA, Journal Year: 2025, Volume and Issue: 3, P. 318 - 318

Published: May 8, 2025

Sub-Saharan Africa (SSA) faces persistent food insecurity due to low agricultural productivity, limited access modern technologies, and growing climate variability. This study explores the transformative potential of Artificial Intelligence (AI) enhance systems across SSA. The objective is assess how AI applications—such as machine learning, remote sensing, big data analytics—can address systemic inefficiencies in cereal crop production, with a focus on barley, millet, sorghum. Using systematic review approach aligned PRISMA guidelines, literature from 2015–2025 was analyzed multiple databases identify empirical studies models related SSA agriculture. Results reveal that can significantly improve monitoring, yield forecasting, resource optimization. However, adoption barriers such inadequate infrastructure, financial constraints, digital divide persist. concludes while holds significant promise, its success depends inclusive policies, capacity building, localized governance. It recommends interdisciplinary research, investment rural participatory innovation frameworks empower smallholder farmers ensure equitable deployment. provides roadmap for integrating into resilience, security.

Language: Английский

Challenges in Sub-Saharan Africa’s Food Systems and the Potential Role of AI DOI
Petros Chavula, Fredrick Kayusi

LatIA, Journal Year: 2025, Volume and Issue: 3, P. 318 - 318

Published: May 8, 2025

Sub-Saharan Africa (SSA) faces persistent food insecurity due to low agricultural productivity, limited access modern technologies, and growing climate variability. This study explores the transformative potential of Artificial Intelligence (AI) enhance systems across SSA. The objective is assess how AI applications—such as machine learning, remote sensing, big data analytics—can address systemic inefficiencies in cereal crop production, with a focus on barley, millet, sorghum. Using systematic review approach aligned PRISMA guidelines, literature from 2015–2025 was analyzed multiple databases identify empirical studies models related SSA agriculture. Results reveal that can significantly improve monitoring, yield forecasting, resource optimization. However, adoption barriers such inadequate infrastructure, financial constraints, digital divide persist. concludes while holds significant promise, its success depends inclusive policies, capacity building, localized governance. It recommends interdisciplinary research, investment rural participatory innovation frameworks empower smallholder farmers ensure equitable deployment. provides roadmap for integrating into resilience, security.

Language: Английский

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