Projects

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

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

Creating sustainable agricultural sensors, enhancing connectivity, and delivering data-powered performance

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

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

Helping growers make informed investment decisions using their own data

NAB and Food Agility Co-operative Research Centre (CRC) have partnered to provide practical guidance to farmers on how they can use the latest climate and sustainability research to make their businesses more resilient.

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

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.

Deploying Real-Time Sensors to Meet Summerfruit Export Requirements for China

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.

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