17 results
Industry
People
PROJECT NUMBER • 2016-407
PROJECT STATUS:
CURRENT

Capability and Capacity: Nuffield Australia Scholarships

The Australian seafood industry has a long and proud history of employment of very sound environmental and economic management principles which have made it the envy of much of the world. An altogether robust Australian seafood industry is hyper critical to the social and economic fabric of...
ORGANISATION:
Nuffield Australia
Industry
PROJECT NUMBER • 2019-060
PROJECT STATUS:
COMPLETED

The Detection of Ciguatera Toxins in NSW Spanish Mackerel

Ciguatera Poisoning (CP) is an illness through the consumption of fish containing naturally occurring toxins, and is considered a high risk for Australian seafood safety. Ciguatoxins (CTXs) are produced by benthic microalgae (Gambierdiscus spp). In Australia, CP cases are related to fish caught in...
ORGANISATION:
University of Technology Sydney (UTS)

Australian Agrifood Data Exchange (OzAg Data Exchange): Deliver an interconnected data highway for Australia's AgriFood value chain - Proof of concept

Project number: 2020-126
Project Status:
Completed
Budget expenditure: $344,500.00
Principal Investigator: Irene Sobotta
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 • 14.10 MB
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. 
Adoption
PROJECT NUMBER • 2017-065
PROJECT STATUS:
COMPLETED

Disseminating existing bycatch reduction and fuel efficiency technologies throughout Australia's prawn fisheries

Prawn trawling is among the world's least selective fishing methods, the unintended consequence being large quantities of bycatch. It is also a method that can disturb benthic habitats and use large quantities of fuel—a significant running cost for many fisheries. Issues of bycatch and fuel...
ORGANISATION:
IC Independent Consulting Pty Ltd
Industry
PROJECT NUMBER • 2017-012
PROJECT STATUS:
COMPLETED

Investigating social acceptance for the wild catch commercial fishing industry of Southeast Queensland

This research project aimed to develop an engagement strategy that would assist the Southeast Queensland (SEQ) wild catch commercial fishing industry to gain social acceptance, or a Social Licence to Operate (SLO). SLO is needed to maintain access to the resource and market confidence. A scan of...
ORGANISATION:
University of the Sunshine Coast (USC)
Blank
Adoption
Adoption
Industry