Investment Details

PILOT

Welcome to the GRDC Investments pilot. It contains a selection of our RD&E investment portfolio. Let us know what you think!

GRDC Code: UOS2002-002RTX
Machine learning to map soil constraint variability and predict crop yield

This project will use a variety of Machine Learning techniques to bring together previously underutilised on-farm, satellite, and weather data and better predict expected crop outcomes. Tools to map fine-scale 3D-variability of agronomically important soil properties (such as depth to chemical/physical barriers and plant-available water-content) and to forecast crop yield variability in-season will be developed, improving management and profitability.

Project start date:
17/02/2020
Project end date:
31/10/2021
Crop type:
Wheat
Region:
National
Organisation:
University of Sydney