Workshop

GeoAI for Africa: Harnessing Geospatial Machine Learning for Climate Resilience

We explore the fusion of Geospatial Machine Learning and AI in addressing a significant agricultural challenge in Africa - the identification of crop types across vast farmlands. Leveraging multispectral satellite imagery and corroborating field survey data, participants will gain practical insights into how cutting-edge technologies can help map and categorize the types of crops grown in specific areas, a task crucial for improving agricultural productivity, food security, and climate change resilience in Africa. The expected output of this hands-on session is the ability to generate detailed, highly accurate crop type classes that can help stakeholders in agriculture make informed decisions and shape sustainable farming practices in the face of a changing climate. We invite all interested in this pioneering field of study to join us as we unravel the potential of geospatial machine learning for Africa's future.