25 results
Environment
PROJECT NUMBER • 2015-024
PROJECT STATUS:
CURRENT

Managing ecosystem interactions across differing environments: building flexibility and risk assurance into environmental management strategies

Summary The overarching aim of this research was to provide an improved understanding of the environmental interactions of Atlantic Salmon farming and to provide recommendations to both government and industry on monitoring and management strategies that are appropriate to the level of risk...
ORGANISATION:
University of Tasmania (UTAS)
Environment
People
Environment

Exploring semantic search and linking technologies for application on GrowAG platform

Project number: 2024-049
Project Status:
Current
Budget expenditure: $0.00
Principal Investigator: Alex Bundock
Organisation: AgriFutures Australia
Project start/end date: 28 Feb 2025 - 30 Sep 2025
Contact:
FRDC

Need

AgriFutures growᴬᴳ⋅ is the platform for Australian and global agrifood innovation. Explore research, technology, and commercialisation opportunities in one place. Connect with a diverse ecosystem including researchers, investors, and startups and discover funding avenues, list projects, and engage with over 400 organisations.

Agricultural research is vital for ensuring food security, sustainable farming practices, and rural development. AgriFutures growAG. involves collaboration between the Department of Agriculture Fisheries and Forestry (DAFF) and Australia’s 15 Research & Development Corporations (RDCs), collating details on the vast rural RDC investment landscape. Collation of project details on growᴬᴳ is currently a manual, keyword-based tagging system that suffers from limitations:
- Limited Semantic Understanding: Keywords often fail to capture the nuanced relationships between projects, leading to fragmented information retrieval.
- Scalability Issues: Manual tagging is time-consuming and prone to inconsistencies, hindering efficient data management as the database grows.
- Lack of Interoperability: The current system lacks the ability to seamlessly integrate with other agricultural datasets and knowledge bases.
This project proposes to develop an AI-driven solution for semantically linking agricultural research projects, enabling more accurate and comprehensive project navigation and knowledge discovery. By leveraging Natural Language Processing (NLP) and knowledge graph technologies, we aim to transform the current keyword-based system into a dynamic and interconnected knowledge repository.

Objectives

1. Provide seamless ingestion of RDC data onto the platform including automation, providing projectsummaries and tagging.
2. Facilitate advanced semantic search and exploration through the integration of AI and data visualisation techniques.
3. Provide a value add for the ecosystem, partners, and visitors by being able to query the underlying growAG data set and better understand potential opportunities and trends.
Environment
PROJECT NUMBER • 2021-114
PROJECT STATUS:
COMPLETED

Water abstraction impacts on flow dependent fisheries species of the Northern Territory, Australia - a synthesis of current knowledge and future research needs

This project synthesised information that could be used to help guide decision making around the protection of fisheries species that may be impacted by water abstraction. This review was led by Griffith University and conducted in collaboration with the University of Western...
ORGANISATION:
Griffith University Nathan Campus
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