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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

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)

AgAsk: A Machine Learning Generated Question-Answering Conversational Agent for Data-driven Growing Decisions logo
Research project

AgAsk: A Machine Learning Generated Question-Answering Conversational Agent for Data-driven Growing Decisions

Grains Research and Development Corporation (GRDC)

AgAsk, a machine learning question-answering system, will interpret natural language questions and provide contextualised access to insights into agricultural research. Text information that is currently locked away in GRDC project reports and scientific publications will be searched and synthesised by AgAsk into succinct and relevant answers to growers’ questions. The...

23 Mar 2020 - 22 Mar 2022

Australian Capital Territory, Australia

The University of Queensland (UQ)

DAN00212 - Pulse Breeding Australia (Chickpea) logo
Research project

DAN00212 - Pulse Breeding Australia (Chickpea)

Grains Research and Development Corporation (GRDC)

Pulse Breeding Australia's (PBA) Chickpea national breeding program has made significant strides in improving chickpea since its inception in 2006. However, further investment is required to ensure the progress of other pipeline breeding material and to meet emerging production problems and marketing opportunities. To achieve this the breeding program will...

1 Jul 2016 - 30 Jun 2020

Australian Capital Territory, Australia

Department of Regional NSW (DR NSW)

UB00006 - GRDC Online Farm Trials system - Phase 2 logo
Research project

UB00006 - GRDC Online Farm Trials system - Phase 2

Grains Research and Development Corporation (GRDC)

Online Farm Trials (OFT) is a web-based system that provides open and free access to on-farm, or field based, cropping research trial data and information. Interactive maps, searching and viewing tools are provided to enable quick and easy access to relevant information on a range of cropping topics, issues and...

27 Jun 2016 - 30 Jun 2020

Australian Capital Territory, Australia

Federation University of Australia

Clouds and Pasturella multocida logo
Research project

Clouds and Pasturella multocida

Australian Eggs

This project was conducted to improve the ability of the industry both to prevent and control fowl cholera, an important disease that can cause significant mortalities, typically in laying birds. Importantly, fowl cholera, caused by the bacterium Pasteurella multocida, has emerged as a problem in free range and organic flocks...

Start: 1 Jan 2016

New South Wales, Australia

The University of Queensland (UQ)