Exploring semantic search and linking technologies for application on GrowAG platform
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.
Citizen science guidelines in recreational fishing
Many aspects of marine systems, including diverse species, habitats, and environmental issues, need expansive research to better understand and manage sustainability of the fishing and aquaculture industry. Unfortunately, data collection is one of the most resource-intensive aspects of science and can hinder the progression of commodity-specific research and development (R&D). This project will develop best practice guidelines for the creation, execution, evaluation, and evolution of citizen science projects that specifically address research data collection in the Australian aquaculture industry, which will contribute to research outcomes that facilitate long term productivity and sustainability of the industry. For more than 50 years, formal citizen science programs have proven to be an effective way for communities to contribute to R&D by collecting scientific data that drives decision making and creates innovative solutions.
This project involves a four-stage approach to enhancing R&D practices for recreational fishers, fisheries scientists, and fisheries managers by providing researchers with industry-specific information to design citizen science projects that actively engage recreational fishers. The approach provides flexibility and agility to ensure the project can achieve high quality deliverables, on time, and in budget:
1. Consultation with industry stakeholders to determine current barriers and opportunities to developing, implementing, evaluating, and evolving citizen science projects targeted at recreational fishers.
2. Desktop review and global “environmental scan” to best characterise citizen science programs, projects, and frameworks relevant to recreational fishing.
3. Development of researcher citizen science guidelines for recreational fishing that provides detailed information pertinent to industry challenges and opportunities. The guidelines will be led by the results of Stages 1 and 2, and will be intuitive, user-friendly and easily updated in the future.
4. Industry communication of the guidelines to ensure streamlined adoption by researchers and improved return on investment for this project.
Strategies to amplify collaborative and sustainable citizen science opportunities identified during this project will enhance FRDC R&D outcomes 3 (a culture that is inclusive and forward thinking) and 5 (community trust, respect, and value). The guidelines will help build an environment where researchers work directly with recreational fishers, which will promote inclusivity with stakeholders, harness the wealth of local ecological expertise and foster a solution-driven culture throughout the supply chain.