This project compiles a broad range of granular data—derived from satellite imagery and machine learning algorithms—to assess climate vulnerability across the continent. The data includes grid-cell-level information on soil health, crop productivity, and climate conditions. Our first objective is to identify areas with the greatest potential for productivity gains and the highest exposure to climate risks in Africa. In the next phase, we plan to partner with an AI-based virtual agronomist tool that delivers tailored technical guidance to farmers. By integrating satellite data with local inputs from farmers, this tool can offer context-specific recommendations to improve agricultural practices. We aim to test whether AI-based tools can effectively deliver actionable insights and reduce the cost of technical assistance at the local level.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsThis project is leveraging artificial intelligence (AI) and machine learning (ML) technologies at both the farm and enterprise level. It mentions financing pilots for food safety technologies and disruptive digital control systems using AI for smart food safety supervision. Additionally, it discusses using AI and ML technologies to detect sub-optimal practices of food business operators, lower monitoring costs, control the production environment, increase production efficiency, and analyze data using big data analytics approaches. Overall, the project integrates various AI and ML technologies for process automation, resource optimization, real-time supervision, and predictive analytics to support sustainable and efficient agricultural production.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsInfrastructure/Systems DevelopmentThe project aims to leverage artificial intelligence for improved waste management of plastics, specifically in the area of collection and segregation. The use of digital tools incorporating artificial intelligence or radio frequency identification can enhance the traceability of consumer products, contributing to more effective waste management practices. These technologies align with innovative solutions sought for addressing plastic waste challenges, demonstrating the project's utilization of AI in enhancing waste management processes.
Activity Type AI Tools/SolutionsInfrastructure/Systems DevelopmentSystems utilizing AI to assist in data analysis for identifying red flags of corruption within public procurement systems by integrating and linking to other related databases.
Activity Type AI Tools/Solutions