Assess the risk of outbreak and spread of pests

Pest Prediction aims to produce cutting edge research to provide pest and disease monitoring and forecast information to support decision making in the sustainable management of insect pests and diseases. It integrates multiple sources of data, Earth observation (EO), meteorological and vertical looking radar, to generate predictive models on wheat rust severity, locust development and biopesticide suitability. These models help governments to decide i) where to send resources for locust control and ii) if biopesticides can be effective in controlling the locusts in those current climatic conditions. Modelling helps the government to decide when it is suitable to spray and hence have better informed pesticide application. The results of the monitoring models for wheat diseases and pests are automatically delivered in an online platform with free access from computers or mobile devices.