Crop Type Mapping for Rwanda

Rwanda’s agriculture sector is highly vulnerable to climate variability, making timely and accurate crop monitoring essential for food security and resilience planning. This project seeks to revolutionize agricultural monitoring by developing an automated remote sensing-based crop monitoring system that integrates with the Agricultural Management Information System (AMIS) and the Smart Agriculture System (SAS). By leveraging data from Sentinel-1, Sentinel-2, Sentinel-3, Planet, and Worldview satellites, the system will provide multi-scalar crop monitoring capabilities, including early warning, trend analysis, and high-resolution mapping. A pilot study in selected districts will evaluate the system’s accuracy, cost efficiency, and operational feasibility. What sets this project apart is its focus on automation and national-scale integration. Beyond monitoring, it will create a roadmap for scaling up, ensuring seamless data management, interoperability, and integration with Rwanda’s Regional Hydrological Extremes Assessment System (RHEAS) for potential yield estimation. By supporting evidence-based decision-making, this initiative will enhance Rwanda’s ability to predict agricultural trends, improve food security, and strengthen climate resilience. The project is a significant step toward smart, data-driven agriculture, empowering policymakers and farmers with real-time, actionable insights.