Most foliar diseases in vegetable crops are influenced by a specific set of environmental factors, which includes temperature, leaf wetness, rainfall, relative humidity and daylight. For many such crop diseases, algorithms have been developed to explain the conditions required for infection, sporulation, dispersal and re-colonisation of the host plant. Coupled with these algorithms, new technology in environmental data collection allows for real-time disease prediction models to assist with cop disease management.

Location: Gatton

Expected outcomes: research and discovery skills, problem solving and idea creation for a series of challenging problems; input into computer software / APP design; laboratory and glasshouse plant disease research

Supervisors: Associate Professor Vic Galea

Before you apply: contact the primary supervisor for more details

Project members

Associate Professor Victor Galea

Deputy Head of School
School of Agriculture and Food Sciences
Affiliated Associate Professor
Centre for Plant Science