Project number: 2020-126
Project Status:
Current
Budget expenditure: $400,000.00
Principal Investigator: Ben van Delden
Organisation: Meat and Livestock Australia (MLA)
Project start/end date: 23 Sep 2021 - 30 May 2024
Contact:
FRDC

Need

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.

Objectives

1. Exchange data efficiently on agreed terms with trusted service providers or other interested parties such as government and researchers
2. Enable Australia's agrifood sector to access and take full advantage of the huge amounts of data that is being generated and efficiently transfer their data across the value chain
3. Reduce costly inefficiencies, poor collaboration, wasteful use of critical managerial time and loss of opportunities caused by disparate, siloed and proprietary data systems

Presentation

Presentation
Experiment 4 Demo – compliance and traceability for rock lobster quota in Western Australia by Telstra IBM.pdf

Summary

Pain point:
The delay in exchange and reconciliation of catch data by fishers and processors means that there is a delay in quota accounting which impacts planning due to lack of timely information. Furthermore, with no access to pre-fishing information data to the processors means they are unable to plan logistics for efficient transportation. In addition, longer term ambitions of an end-to-end product traceability system will require a reliable data exchange between inputs, production and logistics.

Experiment:
To demonstrate the timely flow of pre-fishing information, quota accounting data, and product (catch) data from WA DPIRD (Fisheries management agency) to Fishers and Processors in a secure and permissioned manner to allow for better logistics planning, and data from Fishers and Processors to DPIRD to enable timely quota consumption accounting. 

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