GRDC Investments

Investments

Welcome to our investments. We invest in Research, Development and Extension (RD&E) to create enduring profitability for Australian grain growers.

Here you will find active investments, and investments completed after 1 January 2020 from our RD&E portfolio. Some investments will display related communication and extension activities, and other associated outputs.

Please let us know what you think as we welcome any feedback.

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Region

North South West
Crop Type arrow

Status

Active Completed

Interest Area

National Grower Network Pre-breeding

Investment list

Results found: 571 - 580 of 823 search results

  • GRDC Code: UWA2002-003RTX
    Deep Learning for early detection and classification of crop disease and stress
    This project will utilise deep learning for the detection, identification, and evaluation of crop stress factors using a variety of available remote sensing data. This will reduce the need to manually examine crops for visible indicators of stress…
    Project start date:
    17/02/2020
    Project end date:
    16/02/2022
    Crop type:
    • All Crops, (All Crops)
    Region:
    North, South, West
    status icon Completed Project Status: Completed
  • GRDC Code: UWA2002-002RTX
    Using machine learning to increase genetic gain in canola blackleg resistance breeding
    This project will extend current research into deep learning and the genomics of disease resistance and apply findings to improve the blackleg resistance of Australian canola cultivars. Neural networks are a series of algorithms that mimic the…
    Project start date:
    17/02/2020
    Project end date:
    16/02/2022
    Crop type:
    • Canola/Rapeseed, (Oilseed)
    Region:
    North, South, West
    status icon Completed Project Status: Completed
  • GRDC Code: AGT2002-002RTX
    Applying machine learning to improve genetic gain delivered from genomic selection in plant breeding
    Machine learning is the next-generation solution to identifying patterns in large datasets and involves using computer science and statistics to analyse very large datasets. These datasets are too complex to uncover with traditional human-led…
    Project start date:
    17/02/2020
    Project end date:
    16/02/2022
    Crop type:
    • Wheat, (Cereal)
    Region:
    North, South, West
    status icon Completed Project Status: Completed
  • GRDC Code: CUR2002-001RTX
    Using Machine Learning To Develop New Methods For Genetic Gain In Crops Challenged By Fungal Diseases
    This project will apply a machine learning approach to genetic and high throughput phenotyping data to draw out genetic markers associated with resistance to fungal infections in wheat, canola, lentil, and chickpea crops.
    Project start date:
    17/02/2020
    Project end date:
    30/06/2022
    Crop type:
    • Wheat, (Cereal)
    • Chickpeas, (Legume)
    • Lentils, (Legume)
    • Canola/Rapeseed, (Oilseed)
    Region:
    North, South, West
    status icon Completed Project Status: Completed
  • GRDC Code: UOQ2002-008RTX
    Machine learning applied to high-throughput feature extraction from imagery to map spatial variability
    This project uses Machine Learning to develop high-throughput phenotyping (HTP) of crop canopy features. Plant images from the many project partners train machine learning models for this. The model training is done using the Weiner supercomputer at …
    Project start date:
    17/02/2020
    Project end date:
    30/06/2022
    Crop type:
    • Wheat, (Cereal)
    • Barley, (Cereal)
    • Sorghum, (Cereal)
    • Canola/Rapeseed, (Oilseed)
    Region:
    North, South, West
    status icon Completed Project Status: Completed
  • GRDC Code: CUR2002-002RSX
    GRS - (Kealan Hassett) Population structure and virulence of barley Spot Form of Net Blotch isolates in Western Australia
    The most damaging barley disease in Australia is net blotch, which segregates into two forms caused by the closely related fungal pathogens, Pyrenophora teres f. teres (Ptt) and Pyrenophora teres f. maculata (Ptm); Ptt is the causal agent of the net …
    Project start date:
    01/02/2020
    Project end date:
    30/06/2023
    Crop type:
    • Barley, (Cereal)
    Region:
    West
    status icon Completed Project Status: Completed
  • GRDC Code: SPA2001-001SAX
    Hands-on Precision Agriculture Training for Growers
    This national investment will provide introductory precision agriculture training that will impart technology skills to growers in a 'hands-on' manner.The information provided will be specific to and driven by issues raised by growers in…
    Project start date:
    30/01/2020
    Project end date:
    16/06/2022
    Crop type:
    • All Crops, (All Crops)
    Region:
    North, South, West
    status icon Completed Project Status: Completed
  • GRDC Code: UOA2001-010BLX
    Improving frost and heat stress management for SA Durum growers
    Durum is of particular importance to SA, over the past 5 years the average area sown has been 60,300ha, producing 158,200 tonnes (Crop and Pasture report). Relative to other cereals the seasonal variation in durum production is greater predominantly …
    Project start date:
    15/01/2020
    Project end date:
    30/06/2020
    Crop type:
    • Wheat, (Cereal)
    Region:
    South
    status icon Completed Project Status: Completed
  • GRDC Code: UMU2001-001RTX
    Synchrotron Postdoctoral Fellow no. 4: Plants - Novel foliar fertilisers and nutrition trait diversity of grains
    As global attention shifts towards nutritional food security, the density of key micronutrients (zinc, iron, selenium, iodine and Vitamin A) in Australian cereal grains will increasingly become a key market requirements and potential differentiation …
    Project start date:
    15/01/2020
    Project end date:
    31/10/2024
    Crop type:
    • Wheat, (Cereal)
    Region:
    North, South, West
    status icon Active Project Status: Active
  • GRDC Code: DPI2001-033RTX
    Maximising the uptake of phosphorus by crops to optimise profit in central and southern NSW, Victoria and South Australia
    This project explores the effect fertiliser placement has on nutrient use efficiency given nutrient stratification, soil water availability and the root architecture of different crops. The project deploys a series of experiments designed to…
    Project start date:
    10/01/2020
    Project end date:
    30/04/2025
    Crop type:
    • All Crops, (All Crops)
    Region:
    North, South
    status icon Active Project Status: Active