Estimating smallholder maize yields in Ethiopia with satellites and machine learning
BY ZHE GUO AND BILLY BABIS Accurate and precise monitoring of agricultural output in developing countries is a crucial tool for the proper allocation of public funds and services, in addressing poverty, and in sustainably increasing yields to feed growing populations. But accurate crop yield estimation is particularly challenging in sub-Saharan Africa (SSA), where heterogeneous smallholder farms predominate, making data