Increasing farm production and disease prevention by advancing and transferring new artificial intelligence technologies into industrial deployment.
The Hub combines world-leading capabilities in machine vision, machine learning, software quality control, engineering, biology, and farming industries to invent and adopt technologies to build more intelligent systems that can automatically determine what goal to achieve in a dynamic environment and the most efficient plan to achieve it.
The outcomes of this Hub will enable higher farming efficiency, lower production costs and disease risks, giving the Australian industry a great advantage in global competition, and creating new business opportunities.
The ARC Industrial Transformation Research Hub for Driving Farming Productivity and Disease Prevention received Australian Government funding of $5 million through the Australian Research Council Industrial Transformation Research Program.
Project 1. Computer vision and machine learning for object detection and recognition in cluttered environments
Project 2. Big data analytics techniques for video processing and time series analysis
Project 3. System integration and quality control
Project 4. Larvae/seed/billet selection for the early stage of farming activities
Project 5. Crop and animal growing condition monitoring
Project 6. Early detection of disease and pest in production environment
Project 7. Automatic product grading and harvesting
Project 8. Smart decision making for AI system
Benefits and impact
The projects will develop transformative technologies and apply them to flagship farms, which will significantly increase farming productivity and reshape Australian farm labourers into a higher quality and more productive workforce, giving the Australian aquaculture and agriculture industries a great advantage in global competition. The success of this Hub will enable lower production costs, higher farming efficiency, better sustainable business development, and more effective protection of ecosystem and environment over the current practices of Australian farms.
Our ARC Research Hub for Driving Farming Productivity and Disease Prevention, led by Prof. Yongsheng Gao, can sponsor one fellowship application, ideally in the area of Computer Vision, Machine Learning, Image Processing, and Multimedia.
The research fellow is expected to undertake fundamental research, generate top-quality publications, participate in funding applications and student supervision, and support Hub research activities.
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