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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.
Adoption
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PROJECT NUMBER • 2018-026
PROJECT STATUS:
COMPLETED

e-fish - An Integrated Data Capture and Sharing Project

The e-fish project provides an in-depth analysis of the challenges currently experienced by fisheries agencies in data integration and sharing. The project, led by the Australian Fisheries Management Authority (AFMA) in consultation with Australia’s State and NT fisheries jurisdictions,...
ORGANISATION:
Australian Fisheries Management Authority (AFMA)
SPECIES
Industry
PROJECT NUMBER • 2018-106
PROJECT STATUS:
COMPLETED

Identifying electronic platforms to increase safety at sea in the Australian commercial fishing fleet

Maintaining safety at sea requires a multi-faceted and complex system including coordinating vessel integrity and the carriage of the correct equipment, the provision of accurate information on weather and sea conditions, the training of the crew and managing their actions at sea. ...
ORGANISATION:
Diversity Sustainable Development Consultants Pty Ltd
SPECIES
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PROJECT NUMBER • 2018-197
PROJECT STATUS:
COMPLETED

Developing FRDC’s 2020-2025 RD&E Plan

This report covers the second of two CSIRO contributions to the project FRDC 2018-197. This project was reviewing FRDC research objectives through a process that developed alternative scenarios of possible futures relevant to Australian fisheries. Discussed here is the development of a...
ORGANISATION:
Fisheries Research and Development Corporation (FRDC)