You are here: Home > RESEARCH PROGRAMS > Surveillance

Surveillance

Surveillance Research Program ImageThe challenge for Australia is to have a pest surveillance system that takes into account the diverse plant industries and the range of production, the large area over which production occurs, the urban areas as well as natural ecosystems. This has to be considered in the global setting where increased trade and travel have magnified the potential for pest incursions.

 

The Surveillance Program will aim to enhance responsiveness and thereby reduce economic risks to Australia's agri-food industries and market access posed by pest introductions.

 

The program will develop and implement science-based sample/survey methodologies and systems to enhance the ability to capture a wide range of plant health information in an accurate and cost effective manner that will be acceptable to international and domestic markets.

Goal

A more effective national surveillance system based on scientifically sound sampling tools and survey methodologies.

Actions

  • Develop technically sound and cost-effective surveillance procedures.
  • Develop surveillance procedures that are linked to information databases, GIS datasets and other technologies.
  • Develop surveillance technologies that capture all the relevant survey data required to accurately define Australia's plant health status, including confirmation of pest free areas, and detect emergency plant pests.

Benefits

  • Optimum placement of traps for surveillance.
  • More effective remote trapping technologies for detecting emergency plant pests.
  • Improved surveillance through better training of staff and use of hand-held data acquisition technology.
  • Earlier detection of emergency plant pest incursions through use of remote sensing technologies.

Surveillance Research Projects

TitleLeader
CRC30009: Grains Surveillance StrategyDr Sharyn Taylor
This project will improve preparedness of Australia's grain industry for incursions of Emergency Plant Pests (EPPs) by developing a national surveillance plan to support market access and providing more
CRC30014: PDA-Assisted SurveillanceMr Robert Emery

This project will provide outputs that include three main software applications for surveillance (trapping programs, destruction surveillance and general surveys). The project will also select PDA more

CRC30015: Hyperspectral Pathogen DetectionMs Alison Mackie

The project will provide improved surveillance tools for rapid, widespread detection of plant pathogens in crops and native vegetation by producing a library of unique spectral signatures that more

CRC30022: Female Lures: Fruit Fly TrappingDr Katina Lindhout

This project will improve pest surveillance technology through the development of female fruit fly lures.  These will aid in the detection and control of fruit fly species not attracted to the more

CRC30023: Smart Trap Scoping StudyDr Louise Morin

This project will determine the logistical and economic feasibility of developing an automatic detection system suitable for insect traps. Existing software will be adapted and tested to determine more

CRC30032: Flying Spore TrapsDr Kirsty Bayliss

This project is a scoping study to determine the potential of using an unmanned aerial vehicle, fitted with a spore trap, to detect and monitor spores of plant pathogens. We aim to develop a more

CRC30039: Fruit Fly Area FreedomDr Francis De Lima

This project will develop a dynamic, strategic trapping system which provides a similar or higher level of confidence as current static, passive grid systems in areas free from Queensland and more

CRC30073: Surveillance Simulation PlatformProf George Milne
The Surveillance Simulation project will produce a simulation environment which will be used to estimate rates of spread of a disease and its time-changing extent over the landscape. It will provide more

PROGRAM LEADER


Dr Darryl Hardie
Program Leader Surveillance

Email: d.hardie
Phone: 08 9368 3799
Fax: 08 9368 3223

Read More

STRATEGIC OBJECTIVE

To undertake research that will develop technically sound sample/survey methodologies and systems to enhance the ability to capture a wide range of plant health information in an accurate and cost-effective manner both domestically and internationally.