Integrating Ai Technologies Into Climate Risk Management Frameworks In Nigerian Agriculture For Food Security

Abstract

Nigeria faces escalating climate challenges, including intensified droughts, erratic rainfall patterns, and rising temperatures, threatening ecosystems, agriculture, and livelihoods. Climate change increasingly threatens Nigeria’s largely rainfed smallholder agriculture, contributing to declining crop yields and threatening food security. This study investigates the role of Artificial Intelligence (AI) in enhancing climate risk management in Nigerian agriculture. This study utilizes the concept of climate action as a lens, and an extensive desk review of existing literature. Findings reveal that AI technologies are increasingly employed in climate adaptation and mitigation strategies. Applications include predictive analytics for weather forecasting, optimization of water resource management, and enhancement of agricultural practices through precision farming, focusing on capacity building and community engagement.  However, this study identifies significant barriers to the widespread adoption of AI in climate resilience efforts in Nigeria. Challenges encompass data scarcity, limited digital infrastructure, and a shortage of localized AI solutions tailored to specific Nigerian agriculture. Interviewees underscore the necessity for collaborative approaches that involve stakeholders at all levels, from grassroots organizations to international bodies, to develop and implement effective AI-driven climate strategies. The research concludes that while AI holds substantial promise for enhancing climate resilience in Nigeria, realizing its full potential requires addressing infrastructural and capacity-related challenges. Strategic investments in data infrastructure, education, and policy frameworks are essential to empower communities and ensure the equitable deployment of AI technologies in combating climate change across the continent.