The National Digital Twin for Australian Agriculture
National, shared, AI-enabled sovereign infrastructure
The National Digital Twin for Australian Agriculture
National, shared, AI-enabled sovereign infrastructure
National Digital Twin for Australian Agriculture
Overview
The National Digital Twin for Australian Agriculture is a sovereign, AI-enabled geospatial digital twin that creates a dynamic, virtual replica of Australia’s agricultural landscapes. It integrates satellite, drone, sensor, climate and agronomic data to provide decision-ready intelligence that enhances productivity, sustainability and resilience across the sector, while transforming how agricultural research and innovation are undertaken.
Designed as shared national digital infrastructure, the Digital Twin addresses challenges that no single commodity, jurisdiction or organisation can solve alone.
The problem it addresses
Australian agriculture faces compounding, system-level challenges:
- Increasing climate volatility, water scarcity and extreme events driving yield variability and risk
- Stalling productivity growth and rising pressure to demonstrate impact from R&D investments
- Fragmented data, duplicated effort and siloed digital tools across commodities and jurisdictions
- Slow translation of research into practice
- National priorities such as biosecurity, climate adaptation and traceability constrained by disconnected systems
These challenges demand a coordinated, national, whole-of-agriculture capability.
What the Digital Twin is
National shared geospatial infrastructure
A virtual replica of Australia’s agricultural systems, integrating satellites, sensors, drones, climate and environmental data into a common geospatial foundation.
AI-enabled modelling and simulation
Advanced analytics convert complex data into actionable insights across soils, crops, livestock, water and landscapes.
Decision support and scenario modelling
Enables what-if simulations to test strategies, resource use and policy options before implementation, reducing risk and improving confidence in decision making.
What the Digital Twin is not
To set expectations clearly, it is equally important to define what the National Digital Twin for Australian Agriculture is not, and how it differs from existing digital tools and platforms.
- Not a farm management app or commercial platform
- Not a single algorithm, dashboard or point solution
- Not a replacement for existing RDC, Government or industry digital investments
- Not a competitor to commodity specific digital twins
- Not a commercial product that delivers services directly to producers, growers or fishers - instead it supplies industry service providers (agtech providers and agronomists) with enriched data and insights that enhance the value, accuracy, and adoption of their commercial products and advisory services.
Whole-of-agriculture
The Digital Twin is designed as a shared, neutral infrastructure asset that multiple RDCs, governments and research organisations can shape and use. A whole-of-agriculture approach:
- Reduces duplication and lowers the cost of digital infrastructure
- Unlocks cross-commodity and cross-sector value
- Democratises access to national-scale capability
- Strengthens returns to stakeholders through shared datasets, models and insights
The Digital Twin acts as a national spine that connects and scales existing tools, commodity-specific twins and datasets, avoiding a patchwork of isolated pilots.
The Digital Twin Ecosystem
The National Digital Twin for Australian Agriculture operates as shared, sovereign digital infrastructure that connects data, research and innovation across the agricultural system, transforming fragmented inputs into trusted, decision-ready intelligence.
At its core, the Digital Twin integrates diverse data sources from the physical agricultural system, including satellites, sensors, drones, climate data and farm records. In many cases, the data flows through the Australian Agricultural Data Exchange (AADX), which acts as a data connectivity layer, managing access, standards and interoperability.
Within the Digital Twin, AI-enabled modelling and simulation convert raw data into structured insights. This capability underpins two complementary functions:
- First, production-scale wholesale insights. The Digital Twin generates validated, science-backed datasets and models that supply the services industry, including agronomists and agtech providers, who retain the direct relationship with farmers. These insights enhance the accuracy, value and adoption of commercial tools and advisory services, without competing with them.
- Second, a Living R&D Engine. The Digital Twin provides a secure sandpit environment where researchers, RDCs and partners can test, validate and refine innovations before deployment. This accelerates research translation, supports faster and lower-risk R&D cycles, and enables scenario testing across commodities and regions. A third-party twin and AI model repository further enables reuse, benchmarking and collaboration.
The result is a national digital spine that connects data to decisions, research to practice, and innovation to impact, delivering shared value across Australian agriculture, forestry and fisheries.
