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.
Indigenous fishing subprogram: mapping livelihood values of Indigenous customary fishing
Fishing and Aquaculture Workforce Capability Framework
The objective of this foundational work is to collaborate with industry to produce a Fishing and Aquaculture Workforce Capability Framework. The Framework will be used by fishing and aquaculture sectors / communities for workforce planning and career mapping. It will support a more strategic and consistent approach to workforce planning. This in turn, will enable industry to build its capacity through better understanding of capability needs.
In addition to the universal challenges associated with a tight labour market (e.g. attracting people, barriers to entry, addressing skills needs), the industry is operating in a changing environment. Other challenges and opportunities for the fishing and aquaculture sectors include:
• Adapting to climate change
• Biosecurity
• Managing resources efficiently
• Meeting sustainability standards / social license to operate
• Moving to a circular economy
• Managing global supply chains (developing traceability, addressing counterfeit)
• Competing with other proteins
• New markets through free trade agreements
• Adopting digital technology, and;
• Attracting and retaining people to drive responses to changes that impact on the F&A community.
The AgriFood Supply Chain Resilience report (KPMG, 2022) identified ‘labour supply, wellbeing and succession’ as one of the significant stresses for seafood supply chains. Other significant stresses were weather and climate change, cold chain and freight space availability, sustainability and social licence, pests and disease and market access.
Fish Forever (2030 vision for Australia’s fishing and aquaculture community) highlights opportunities for the F&A community and contains outcomes under each of the following missions:
1. Growth for enduring prosperity
2. Best practices and production systems
3. A culture that is inclusive and forward thinking
4. Equitable and secure resource access
5. Society and consumers trust, respect and value.
This project will identify the capability needs (current and future) to address these challenges and opportunities. Further, it will support industry, to attract and retain people and to provide pathways to build capability. Sectors will be better informed as to how to address capability needs.
Addressing these needs will ensure industry is better equipped to respond to changes, challenges and opportunities that impact the fishing and aquaculture communities. The fishing and aquaculture map (FRDC website) highlights the “complex systems behind Indigenous, commercial and recreational fishing and aquaculture in Australia and how the elements are connected”. It also highlights how issues or events in one part of the system can have impacts on other sectors. Therefore, industry needs to be prepared for changes.
This project will engage with all key F&A sectors to ensure the capability framework is industry-driven and collectively owned. In addition, the project approach is designed to utilise existing sector/industry plans and not replace existing frameworks. RMCG will work collaboratively with industry.
Final report
The case studies included in this document offer real-world examples of where innovative thinking has been used to solve issues around workforce planning, attraction and retention of staff, and broader geographical and social challenges.
The research and the development of this Framework emphasises the need to think differently, innovate and enable collaboration.
Valuing WA smaller commercial fisheries across the supply chain
The proposed study will produce information about the supply-chain economic contribution of selected small scale fisheries in Western Australia, as well as a method that can be applied to making these estimates for other fisheries.
The proposed approach includes making three separate estimates of the supply-chain contribution of selected fisheries using three different levels of information: (1 – minimal cost) published fishery production data and a regional economic model that describes inter-regional flows using published statistical data, (2 – minimum consultation) the same as 1 but also including a workshop with key stakeholders to inform the assumptions, and (3 – maximum data) the same as 2 but also collecting primary data from businesses along the supply-chain. As such, the estimates produced for the selected fisheries using approach 3 will be of high quality and the recommended method described in the guidelines will be informed by a comparison of the cost and performance of undertaking the analysis using each level of information.
Three approaches to obtain supply chain data will be utilised and compared in this project. Below summarises the set of data sources within each approach.
Minimal cost approach
Fishery production statistics: Published production statistics (State of the Fisheries 2020/21*) or data request to DPIRD
Fishery financials and employment: Published profiles (if available) or matched fisheries (as per 2017-210)
Supply-chain flows: Analysis of regional input-output tables, taken as given
Supply-chain financials and employment: Analysis of regional input-output tables
Minimal consultation approach
Fishery production statistics: Published production statistics (State of the Fisheries 2020/21*) or data request to DPIRD
Fishery financials and employment: Published profiles (if available) or matched fisheries (as per 2017-210)
Supply-chain flows: Estimated by workshop with stakeholders, starting from input-output table estimates
Supply-chain financials and employment: Analysis of regional input-output tables
Maximum data approach
Fishery production statistics: Published production statistics (State of the Fisheries 2020/21*) or data request to DPIRD
Fishery financials and employment: Primary data
Supply-chain flows: Primary data
Supply-chain financials and employment: Primary data
* Newman, S.J., Wise, B.S., Santoro, K.G. and Gaughan, D.J. (eds) 2021, Status Reports of the Fisheries and Aquatic Resources of Western Australia 2020/21: The State of the Fisheries, Department of Primary Industries and Regional Development, Western Australia.
Key to estimating the supply-chain flows for the low-data approaches, we will apply the direct coefficients from input-output tables within our RISE models to the value of each fishery to estimate the value of each node of the supply chain for each fishery. The input-output model tells us for each dollar of sales from the fishing sector there are sales to other sectors (i.e. processing, wholesale trade, retail trade, food services). Subsequently, those sectors also have sales to other sectors. By applying these coefficients in sequence we can estimate the value of each node of the supply chain. Data for input-output models are held by BDO and ultimately sourced from publications by ABS, RBA, ATO and other public organisations.
Under the minimal consultation approach, we will refine the supply-chain map developed under the minimal cost approach by eliciting judgement by key stakeholders. These stakeholders will have an idea of the size of the supply chain nodes and will be able to confirm or adjust the values according to their knowledge.
Under the maximum data approach, we will interview businesses along the supply chain in order to collect data to value each supply chain node. We will elicit the value of each business and the number and size of businesses at each node. Information on the number and approximate size of businesses at each supply chain node will be sought from industry participants at the workshop. Contact details for businesses willing to be involved in the interview process with also be sought at the workshop.