1. Tracing lobster origin
The need for determining whether stable isotopes are a useful tool for diet analysis and identification of catch location is a priority for the SRL fishery. If proved useful, this technology will allow for rapid identification and isolation of stock abnormalities – such as toxic algal blooms, which has potential to save a lot of time and money for fisheries management.

2. Invasive urchin controls
If results show that small lobsters do predate on urchins, this will be important for informing stock rebuilding targets and reference points relative to urchin control. Primarily we could advise on whether urchin control targets and performance indicators should be based on total lobster biomass or only large lobster biomass. For example, if small lobsters (140mm CL) are found to actively predate on small urchins, the pressure to rebuild the large lobster biomass (>140mm CL) may be reduced. This could in turn help to adapt the rebuild strategy, in line with effective urchin control.

Although the use of data and analytics is becoming more widespread across agricultural industries and institutions, the sector is held back by the lack of a consolidated data platform that combines multiple data sets from multiple data sources in real time. Other technology
and data challenges compromising the strength of the Australian agriculture industry include:

Businesses often need to access multiple data systems/datasets which are stored across various platforms and functions and are not well integrated. Aggregating and reconciling these datasets require manual intervention, is rife with errors/duplication and require significant effort to ensure uptake across the business in order to lead to tangible analytics outcomes. This interoperability challenge is commonplace across the industry today.

Data is not shared between the various stakeholders within the industry at times leading to analysis been taken place with incomplete datasets and other times for duplication of efforts with varying results. Data sharing/collaborating culture which would be backed by an established data governance framework including protocols/policies for data access, privacy, definition and standards, would uplift the industry analytical capabilities.

Challenges in understanding where to prioritise efforts to best support the industry. With significant opportunities for data-driven use cases across the value chain, defining the prioritisation of funding and efforts to build capabilities is a critical challenge for industry bodies and governments. The OzAg DX could enable consolidated, integrated and standardised data, to help reduce the labour intensive effort of collecting and analysing data to make better informed prioritisation decisions on deployment of limited support resources and capabilities.

A slow take up of digital technologies is slowing agricultural productivity growth. As Australia looks to achieve the target of $100 billion farm gate output by 2030, digital agriculture is expected to contribute up to an additional $20 billion annually to the gross value of agricultural production.