AI-Driven Strategies for Rebuilding Food Security in Post-Conflict Northern Nigeria: Opportunities, Challenges, and Policy Implications

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Page Numbers: 225-246
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Published: May 26, 2026
Digital Object Identifier: 10.58578/mjaei.v3i2.9388
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Authors:
Dadi Jonathan Abba1*, Mafeng Jamima Dudari2, Raliyah Umar Alkaleri3, Jimmy Nirat Jakawa4, Habibu Aminu Sani5
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Dadi Jonathan Abba
Karl Kumm University Vom, Plateau State, Nigeria
Mafeng Jamima Dudari
Karl Kumm University Vom, Plateau State, Nigeria
Raliyah Umar Alkaleri
Abubakar Tafawa Balewa Bauchi. State, Nigeria
Jimmy Nirat Jakawa
Karl Kumm University Vom, Plateau State, Nigeria
Habibu Aminu Sani
Nuhu Bamali Polytechnic Zaria, Nigeria

Abstract

Years of conflict in Northern Nigeria have displaced communities, disrupted agricultural production, and weakened market systems, creating urgent challenges for food security recovery. Traditional rehabilitation approaches alone are insufficient to address these multidimensional problems. This article aims to examine the potential of artificial intelligence (AI) as a transformative tool for rebuilding food security in post-conflict settings in Northern Nigeria. The study analyzes how AI-enabled technologies, including predictive modeling, climate monitoring, automated crop assessment, and data-driven supply-chain management, can support agricultural productivity, timely decision-making, and food system resilience. The findings indicate that AI can contribute to post-conflict recovery by strengthening early-warning systems, improving agricultural planning, enhancing supply-chain coordination, and supporting more sustainable food security interventions. However, the effective adoption of AI remains constrained by inadequate infrastructure, limited technological skills, and governance challenges. The study concludes that responsible, context-sensitive, and locally adapted AI strategies can accelerate food system recovery and contribute to sustainable food security in Northern Nigeria. This article contributes to the discourse on digital agriculture and post-conflict reconstruction by highlighting the strategic role of AI in strengthening resilience, improving recovery planning, and supporting evidence-informed food security interventions in fragile contexts.

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How to Cite
Abba, D. J., Dudari, M. J., Alkaleri, R. U., Jakawa, J. N., & Sani, H. A. (2026). AI-Driven Strategies for Rebuilding Food Security in Post-Conflict Northern Nigeria: Opportunities, Challenges, and Policy Implications. Mikailalsys Journal of Advanced Engineering International, 3(2), 225-246. https://doi.org/10.58578/mjaei.v3i2.9388

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Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

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