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Browse and tap into research projects pushing the boundaries of agrifood innovation and science in rural industries.
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3727 research projects

Prevention and preparedness for fall armyworm (Spodoptera frugiperda) logo
Research project

Prevention and preparedness for fall armyworm (Spodoptera frugiperda)

Grains Research and Development Corporation (GRDC)

The recent establishment of the fall armyworm (FAW; Spodoptera frugiperda) in Australia has created a need for an Australian perspective on potential research activities that will increase the ability of the grains industry to manage this pest. This project will review a broad range of international information resulting in an...

1 Apr 2020 - 30 Oct 2020

Australian Capital Territory, Australia

CESAR Pty. Ltd

Surveys and associated diagnostics of the incidence and severity of diseases of cereals, and pulses in the southern region (South Australia) logo
Research project

Surveys and associated diagnostics of the incidence and severity of diseases of cereals, and pulses in the southern region (South Australia)

Grains Research and Development Corporation (GRDC)

This investment is part of the ongoing disease surveillance program to monitor the changes in pathogen populations including their incidence and severity in association with changes in farming practice and other factors (such as climatic trends) that informs industry of disease risks and assists in identifying RD&E investment priorities for...

1 Jul 2020 - 31 Mar 2021

Australian Capital Territory, Australia

The University of Adelaide (UA)

Identifying a machine learning approach to weed recognition in Australian grain production systems logo
Research project

Identifying a machine learning approach to weed recognition in Australian grain production systems

Grains Research and Development Corporation (GRDC)

The project will create an open source weed image library to make weed recognition data freely available to the weed control industry. This will provide a path to market for weed recognition technologies that can make use of the database. The project will determine best database structure for facilitating weed...

17 Feb 2020 - 16 Feb 2021

Australian Capital Territory, Australia

The University of Sydney (USYD)

Machine learning to extract maximum value from soil and crop variability logo
Research project

Machine learning to extract maximum value from soil and crop variability

Grains Research and Development Corporation (GRDC)

The yields of major crops in Australia are often below their water-limited potential. A reason for this is the complexity of Genotype x Environment x Management (GxExM) interaction, which results in crop growth with high variability. This project aims to use machine learning to undertake a more detailed analysis of...

24 Feb 2020 - 23 Feb 2022

Australian Capital Territory, Australia

The University of Adelaide (UA)

Applying machine learning to improve genetic gain delivered from genomic selection in plant breeding logo
Research project

Applying machine learning to improve genetic gain delivered from genomic selection in plant breeding

Grains Research and Development Corporation (GRDC)

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 analysis. This project will use large volumes of data (plot images, environmental, soil, crop yield, grain...

17 Feb 2020 - 16 Feb 2022

Australian Capital Territory, Australia

Australian Grain Technologies Pty Ltd

Using machine learning to increase genetic gain in canola blackleg resistance breeding logo
Research project

Using machine learning to increase genetic gain in canola blackleg resistance breeding

Grains Research and Development Corporation (GRDC)

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 operations of a human brain to recognise relationships between vast amounts of data....

17 Feb 2020 - 16 Feb 2022

Australian Capital Territory, Australia

University of Western Australia (UWA)

Machine learning applied to high-throughput feature extraction from imagery to map spatial variability logo
Research project

Machine learning applied to high-throughput feature extraction from imagery to map spatial variability

Grains Research and Development Corporation (GRDC)

This project will advance upon existing techniques for image analytics by setting up datasets from a greater range of situations, including different crops, locations, and image backgrounds. The information provided by this model can assist growers in making replant decisions, while improving yield estimation and increasing the ability to perform...

17 Feb 2020 - 16 Feb 2022

Australian Capital Territory, Australia

The University of Queensland (UQ)

Using Machine Learning To Develop New Methods For Genetic Gain In Crops Challenged By Fungal Diseases logo
Research project

Using Machine Learning To Develop New Methods For Genetic Gain In Crops Challenged By Fungal Diseases

Grains Research and Development Corporation (GRDC)

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.

17 Feb 2020 - 16 Feb 2022

Australian Capital Territory, Australia

Curtin University

Machine learning to map soil constraint variability and predict crop yield logo
Research project

Machine learning to map soil constraint variability and predict crop yield

Grains Research and Development Corporation (GRDC)

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...

17 Feb 2020 - 31 Oct 2021

Australian Capital Territory, Australia

The University of Sydney (USYD)

Deep Learning for early detection and classification of crop disease and stress logo
Research project

Deep Learning for early detection and classification of crop disease and stress

Grains Research and Development Corporation (GRDC)

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 or disease, enable earlier detection, and provide information regarding the causes of...

17 Feb 2020 - 16 Feb 2022

Australian Capital Territory, Australia

University of Western Australia (UWA)