Developing integrated robot technology solutions for productive, competitive, and sustainable agriculture.
The Queensland University of Technology (QUT) Agricultural Robotics Program (ARP-QUT), supported by industry and government initiatives, aims to address critical issues in the agriculture industry to drive sustainable growth and ensure its international competitiveness.
The program taps into the internationally renowned robotics expertise of the Australian Research Council Centre of Excellence in Robotics vision, and the Australian Research Centre for Aerospace Automation (ARCAA), both of which are based primarily at the University.
By 2050, a projected world population of 9 billion will only be sustained by doubling current food production worldwide. Three quarters of this demand will come from Asia, which places Australia in a unique position as a high-quality food supplier.
To be internationally competitive in agriculture, Australia needs to increase its productivity and the quality of its produce. To achieve this, a transformational change through the development and adoption
of new sustainable farm management practices as technologies such as agricultural robots is required.
Several shortcomings need to be addressed before we can take advantage of this unique opportunity. In today’s highly competitive food production market, Australia is struggling with nearly 75 per cent of farm operations unsustainable, an aging workforce not being replaced by younger farmers, and potential industry growth limited by reduced availability of land and water.
Projects within the program
Key research supporting agriculture industry growth
- Computer-vision weed detection and classification in broad acre and horticulture applications
- Computer-vision produce grading in horticultural applications
- Alternative weed destruction methods
- Robotic weed and crop manipulation
- Multi-robot operation planning, navigation, and motion control
- Vehicle design optimisation
- Legal and socio-economic aspects of agricultural robotics
- Unmanned airborne vehicle (UAV) and ground-vehicle enabled remote sensing
Stakeholders are invited to join the Centre to address these and other industry challenges.
For more information contact
Professor Tristan Perez (Director)
Phone +61 7 3138 9076