AI-Driven Climate Adaptation Strategies for Agriculture

This case study presents the collaboration between ClimateAi and NEC to develop an AI-driven conceptual model aimed at enhancing climate adaptation in Africa's agricultural systems, particularly focusing on cocoa and rice. The document outlines the challenges faced in adapting to climate change, including the lack of clear, data-driven evidence to demonstrate the economic return on investment for adaptation measures. It details the solution provided by the NEC-ClimateAi model, which integrates long-term climate forecasting with agritech expertise to evaluate adaptation strategies effectively. The study highlights various adaptation measures tested, such as irrigation infrastructure and climate-adapted crop varieties, and emphasizes the model's ability to quantify ROI, thereby facilitating investment in climate resilience. The results indicate that the model serves as a decision-support tool for stakeholders, enabling them to make informed decisions regarding adaptation strategies and opening avenues for public-private investment. Feedback from international conferences suggests a positive reception and potential for broader application in development projects.