Adebowale Daniel Adebayo
PhD Student at University of Maryland
Advancing food and water security through satellite imagery and machine learning
PhD Student at University of Maryland
Advancing food and water security through satellite imagery and machine learning
I am a Ph.D. student in the Department of Geographical Sciences at the University of Maryland, College Park, where I work with Dr. Catherine Nakalembe. My research lies at the intersection of remote sensing, machine learning, and smallholder agriculture, with a focus on early warning systems for food insecurity.
As part of the NASA Harvest Machine Learning team, I contribute to developing open-source, scalable workflows for high-resolution cropland mapping and crop area estimation. My work aims to harness satellite image time series and advanced machine learning techniques to support data-driven decision-making in agriculture and food security.
My dissertation focuses on bridging critical gaps in data, methods, and communication, particularly around in-situ validation and uncertainty estimation. The goal is to support more reliable and sustainable ecosystem and agricultural management.