Preliminary evaluation of electro stunning technology for farmed Barramundi
The Australian Barramundi Farmers Association (ABFA) called for an EOI via FRDC for a proposal to evaluate alternative humane harvest methods for farmed barramundi. Specifically, the ABFA identified electro-stunning as a technology of interest to further optimise animal welfare outcomes, while maintaining product quality. The association needs all available information reviewed to evaluate the technology’s potential and if recommended, to help shape the direction of future R&D into the suitability of electro-stunning for the barramundi industry. As a precursor to possible on-farm trials, the ABFA wants to better understand the nature of the technology and learn from international experience in other fish culture sectors. This full proposal addresses the ABFA’s desire for greater insight into; (a) consumer’s attitudes towards fish harvesting and slaughter; (b) the state of uptake of similar technologies by other aquaculture sectors; (c) how to adapt electro-stunning efficiently into a harvest process for a range of barramundi farm sites; (d) whether local or overseas manufacturers/agents can be engaged to co-fund tests of equipment on-farm; and (e) what requirements must be met to make that testing possible and how it would be conducted.
Approval of the EOI was subject to the full application addressing the need for the literature review to include any work on methodology for establishing product quality indicators in addition to welfare indicators (Condition 9).
Biosecurity threats and vulnerabilities of the Southern Rock Lobster Fishery
National Workshop to develop a regional collaborative plan to control the invasive Longspined Sea Urchin (Centrostephanus rodgersii)
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.