Fig. 2.

Critical components and data analytics needed for an emerging plant disease surveillance network. Data include predictive data such as transportation and trade networks, geography, weather and climate parameters, and early detection data such as DNA sequence data, pathogen detection from sensors, text mining of historical and social media data, citizen science data, and identification applications. These data can be used to model spread of plant diseases and predict future spread. Enhanced monitoring and proactive mitigation strategies can be deployed in forecasted future hotspots. Early detection of plant diseases leads to more timely deployment of mitigation strategies.