Crowd-sourced prediction of plant pest and disease occurrence

Contact: Dr Daniel Kudenko

This project looked at developing innovative systems and visualisations that accurately predict pest and disease emergence on crops. The project statistically analysed the crowd-sourced pest and disease observations recorded in the Big Bug Hunt initiative in conjunction with meteorological information. Using meteorological information and weather forecasts allows growers to derive predictions for the current growing season that are specific to their location. The systems will form the basis of new services for customers of Growing Interactive, the horticultural industry and agriculture, and help growers to reduce losses due to plant pests and diseases.