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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.

Experts

Associate Professor Andries Potgieter

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

Professor Scott Chapman

Professor in Crop Physiology
School of Agriculture and Food Sustainability
Faculty of Science
Scott Chapman
Scott Chapman

Professor Fred Roosta

Professor
School of Mathematics and Physics
Faculty of Science
Fred Roosta
Fred Roosta