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CropVision: A next-generation system for predicting crop production (2021–2025)

Abstract:
Accurate and timely production estimates are essential to Australia's grain producers and industry to better deal with down side risk caused by climate extremes and market volatilities. However, current systems for predicting crop production are inaccurate and unreliable. This project aims to develop a next generation system for advance and high accuracy predictions for yield, crop type and area at field scale. This will be done by integrating the state of the art global climate models (GCM), biophysical crop modelling, and high-resolution earth observation technologies. This project will deliver a next generation crop prediction system to predict crop production at field scale for improved decision-making and enhancing resilience.
Grant type:
ARC Linkage Projects
Researchers:

  • Associate Professor Andries Potgieter

    Principal Research Fellow
    Centre for Crop Science
    Queensland Alliance for Agriculture and Food Innovation

  • Professor Scott Chapman

    Professor in Crop Physiology
    School of Agriculture and Food Sciences
    Faculty of Science
    Professor in Crop Physiology
    Centre for Crop Science
    Queensland Alliance for Agriculture and Food Innovation
    Affiliated Academic Level E
    Queensland Alliance for Agriculture and Food Innovation

  • Dr Fred Roosta-Khorasani

    Senior Lecturer
    Mathematics
    Faculty of Science
Funded by:
Australian Research Council