High-Resolution Maize Yield Mapping across Africa using Earth Observation and Machine Learning, Deep Learning, and Foundation Model

Mapping Crop Yields Across Africa

Researchers from the California Institute of Technology, the University of Maryland, and the Bill & Melinda Gates Foundation have created a dataset tracking crop yields across Africa to support food security and satellite-based agricultural monitoring. The GROW-Africa dataset includes more than 500,000 geotagged observations from 1973 to 2022 for 25 major crops, such as maize, cassava, and groundnuts. These records come from a range of sources, …

High-Resolution Maize Yield Mapping across Africa using Earth Observation and Machine Learning, Deep Learning, and Foundation Model

Africa’s food security is increasingly threatened by climate change and population growth. High-resolution yield data are vital for precision agriculture and climate adaptation, yet much of the continent lacks sufficient monitoring due to limited ground data.This study presents first hig...