Projects

Digital technology to improve genetic selection of Akoya oysters

Unlocking digital technology and data to improve outcomes for Australian wine grape growers.

Validating eDNA water sampling for early detection of disease in prawn farms.

Measuring, managing, and communicating Environmental, Social and Governance to differentiate the Australian pork industry in global markets.

Data-driven investigation of productivity gains and verification of production claims

Developing a digital twin model to help Australian stonefruit growers adapt to a changing climate.

Forecasting growth of forage, grazing livestock and farm sustainability using Artificial Intelligence.

A fully automated visual surveillance system utilising AI technologies to improve animal health & welfare outcomes across feedlot operations.

Helping agronomists and farmers make data-driven decisions to optimise profitability and application of farm inputs at a sub-paddock scale.

Forecasting growth of forage, grazing livestock and farm sustainability using Artificial Intelligence

Overcoming one of the biggest hurdles in modern, data-driven agriculture by securely managing and integrating data from multiple sources.

Providing producers with a transparent and credible tool to understand and manage natural capital and Greenhouse Gas emissions.

Enabling digital transformation by mapping the value of technology for producers

Reducing the amount of time it takes to discover a water leak through advanced modelling

$1.5million partnership to improve data privacy and security across Australian agriculture

Using data analytics to prevent spontaneous haystack fires

Enabling farmers to better understand soil health through new analytical insights

Empowering sheep and beef producers to confidently make proactive grazing decisions.

This $6.5million collaboration will develop an accurate and affordable way to estimate carbon in Australian Rangelands landscapes

Tractors and trucks will become roving Wi-Fi devices with a range of up to 5 kilometres, as part of a new Food Agility CRC research collaboration to provide farm-wide internet coverage.

Helping growers make informed investment decisions using their own data

Scientists, technologists, retailers, and farmers are teaming up, using Artificial Intelligence (AI) to enable farmers to better use their cow health records to reduce antibiotic use and improve the management of clinical mastitis.

Delivering predictive models of fruit yield count and fruit sizing for kiwi fruit crops.

Developing digital infrastructure to empower producers to control their data flows while enabling service providers to generate more value for the red meat industry through rich and varied data sets.

Delivering real-time, estuary-specific predictive modelling for shellfish farmers to manage and reduce the cost of closures.

Using predictive models to predict green bean harvest, yield and quality to better align supply and demand.

Identifying the 'lead indicators' of avocado robustness and best areas for supply chain improvement.

Sunrice will use its central position in the Australian rice industry to deliver a three-stage quality and prediction program for their national network of growers.

Putting real-time water usage data into the hands of farmers for the greatest sustainable business and community returns.

This project aims to improve the quality of Australian-grown vegetables, optimise their supply chains and efficiently respond to market and consumer need using sensors, algorithms and digital decision-support tools.

Building a rapid track and trace system by using blockchain and global GS1 data standards for the cherry and potato industries.

Grower driven experimentation and development of a new tool that accounts for spatial variability across paddocks to generate value through data driven decisions.

Improving the efficiency and transparency of food safety regulation of the NSW Oyster industry by combining industry leading research with state-of-the-art sensing to enable real-time water quality testing.

With NAB, AWRI and QUT, this project enabled growers to benchmark their performance and supported their ongoing environmental and financial sustainability

Smart sensing and microclimate forecasting were used to increase the knowledge and management of harvesting for major horticultural crops.