ARC Research Hub for Driving Farming Productivity and Disease Prevention

  • Gao, Yongsheng (Primary Chief Investigator (PCI))
  • Tao, Dacheng (Chief Investigator (CI))
  • van den Hengel, Anton (Chief Investigator (CI))
  • Bennamoun, M (Chief Investigator (CI))
  • Guijt, Rosanne M. (Chief Investigator (CI))
  • Shen, Chunhua (Chief Investigator (CI))
  • Grundy, John (Chief Investigator (CI))
  • Mian, Ajmal (Chief Investigator (CI))
  • Zhou, Jun (Chief Investigator (CI))
  • Busch, Andrew (Chief Investigator (CI))
  • Dong, Jin Song (Chief Investigator (CI))
  • Nguyen, Nam Trung (Chief Investigator (CI))
  • Li, Qin (Chief Investigator (CI))
  • Ford, Rebecca (Chief Investigator (CI))
  • Tan, Say Hwa (Chief Investigator (CI))
  • Sun, Changming (Chief Investigator (CI))
  • Mikami, Satoshi (Chief Investigator (CI))
  • Cox, David (Chief Investigator (CI))
  • Daniels, Raymond (Chief Investigator (CI))
  • Zhou, Ji (Chief Investigator (CI))
  • Koulakov, Sergio (Chief Investigator (CI))

Project: Research

Project Details

Project Description

This Hub aims to significantly increase farm production and disease prevention ability through 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.
StatusFinished
Effective start/end date5/03/19 → 5/03/24
  • 4 Article
  • 1 Comment / Debate
View all 5 research outputs