Ritvik Sahajpal of the University of Maryland College Park in the U.S. will develop an early warning system for low-income countries that predicts the threat to crops from pests and diseases by combining machine learning and crop pest modelling with freely available earth observation data. Existing monitoring systems allow farmers to share data on pest incidence to ensure the timely and limited use of treatments. This maximizes crop yield while minimizing cost and environmental damage.