Visualizing the Future of Australian Agricultural R&D
How Akonita built a 3D Vector Space Engine on Snowflake and Azure to help GrowAg uncover research overlaps and accelerate funding opportunities.
The Challenge
Australia's agricultural sector is driven by various Research and Development Corporations (RDCs). With thousands of projects and massive public datasets, identifying research overlaps and finding opportunities for cross-organizational collaboration was a manual, fragmented process.
GrowAg needed a way to unify this data and provide a discovery tool that could automatically suggest literature reviews and collaborations for universities and companies applying for government funding.
The Solution
Akonita delivered a custom Recommendation Engine & Vector Space Visualizer. We moved beyond simple keyword search, utilizing high-dimensional vector embeddings to understand the semantic context of research papers.
- Automated ingestion of public RDC datasets.
- 3D Visualisation of semantic relationships between projects.
- AI-driven funding and collaboration suggestions.
- Seamless cloud deployment for high availability.
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Built for scale, speed, and deep analytical capability.
Snowflake
Cloud Data Warehouse as the single source of truth.
Microsoft Azure
Secure hosting and container orchestration.
Python & Streamlit
Rapid application development and interactive UI.
Vector Embeddings
UMAP dimensionality reduction for 3D analysis.
3D Topic Clustering
The dashboard utilizes UMAP (Uniform Manifold Approximation and Projection) to flatten high-dimensional text data into a 3D interactive model. Users can visually identify clusters of research—spotting where distinct organizations are working on similar problems without knowing the specific keywords.
Automated Literature Review
When a new company or university prepares to apply for government funding, the tool analyzes their proposal against the historical database. It instantly surfaces relevant past research, reducing duplication and strengthening the quality of grant applications.
Cross-RDC Discovery
By aggregating data from all Australian RDCs, the tool breaks down silos. A researcher in the cotton industry can now easily discover relevant breakthroughs in the wine or dairy sectors that may be applicable to their work.
Need to visualize your complex data?
Akonita specializes in turning raw data into interactive discovery engines. Let's discuss how we can build a similar solution for your organization.
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