AgAsk: A machine learning generated question-answering conversational agent for data-driven growing decisions. (2020–2022)

Grant type:
Grains Research & Development Corporation
Researchers:
  • Professorial Research Fellow
    School of Electrical Engineering and Computer Science
    Faculty of Engineering, Architecture and Information Technology
  • Professor in Crop Physiology
    School of Agriculture and Food Sustainability
    Faculty of Science
  • Principal Research Fellow
    School of Agriculture and Food Sustainability
    Faculty of Science
Funded by:
Grains Research & Development Corporation