Research: Crop disease diagnosis using drones
Identifying crop disease using advanced machine learning and big data technology - from large-scale images taken by drones.
Research summary
Statistic
20% to 40%
An estimated 20-40% of crop yield is lost worldwide each year to pests and diseases.
Food and Agriculture Organization of the United Nations
20% to 40%
An estimated 20-40% of crop yield is lost worldwide each year to pests and diseases.
Food and Agriculture Organization of the United Nations
Video and project website
Agrione web application
Watch our walkthrough showing how farmers can log into the system, view yield and crop maps and order a drone survey.Research team
Logos
With funding from
British Council
Newton Fund
Institutional Links
Contact
Contact us
For general enquiries about this project and our Data Science research theme, you can contact Prof Liangxiu Han.