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: CSP1907-003RTX
Post-Doctoral Fellowship: High-throughput quantitative analysis of flowering dynamics and canopy structure in Canola germplasm using image analysis and deep learning methods

Crop improvement is dependent on accurate measurements of plant traits such as flowering time, leaf and seed number. For canola, a major grain crop in Australia, these traits are currently assessed by human observation, a time-consuming and costly process.

This investment will develop tools and methods to automate and scale up the collection of phenotype data with a focus on flowering time and canopy architecture. The project will employ a variety of imaging techniques and data extraction methods based on recent advances in artificial intelligence and machine learning.

Project start date:
01/07/2019
Project end date:
30/06/2023
Crop type:
Canola/Rapeseed
Region:
National
Organisation:
CSIRO