Connected Data Sources
Simulate.Farm integrates data from research platforms and on-farm systems to power realistic simulations.
Accurate simulations depend on accurate data. Simulate.Farm connects public datasets, farm management systems, and sensor networks, translating them into structured inputs for the RuFaS model.
How data flows through the platform
Public Research Data
Simulate.Farm can integrate datasets from public research platforms that provide information about dairy production systems, environmental conditions, and farm performance.
DairyBrain
Research datasets used for benchmarking and analysis of dairy production systems.
Climate & Environmental Data
Regional climate information used to simulate environmental conditions accurately.
Agricultural Research Databases
Public datasets that support model validation and scenario development.
Farm Management Systems
Simulate.Farm can ingest operational data from software systems already used on farms — allowing simulations to reflect real herd structures, feed systems, and production records.
Herd Management Software
Animal records, herd size, and production data directly from farm systems.
Feed Management Systems
Feed composition and ration strategies to model nutritional inputs accurately.
Operational Farm Records
Milk production metrics and farm management data for realistic baselines.
On-Farm Sensors
Modern dairy farms generate large amounts of sensor data. Simulate.Farm can incorporate these signals to improve simulation accuracy and realism.
Milking Systems
Milk yield and milking performance from automated milking records.
Environmental Sensors
Temperature, humidity, and barn condition monitoring.
Feed Intake Monitoring
Sensor-based tracking of feed consumption per animal or group.
Animal Monitoring
Health and behavior signals to refine individual animal modelling.
Third-Party API Integrations
Simulate.Farm can connect to external systems via their APIs and call them on demand — pulling live data directly into the simulation pipeline when and where it's needed.
Herd Management Software
Connect to platforms like DairyComp, Lely, or DeLaval to pull live animal records, lactation data, and event histories.
Feed & Nutrition APIs
Integrate with ration-balancing and feed formulation tools to ingest ingredient composition and feeding schedules automatically.
PLF & Precision Systems
Call Precision Livestock Farming platforms to retrieve rumination, activity, and health indices in real time.
On-Demand Triggers
API calls are triggered contextually by the simulation — only fetching the data types and time windows relevant to the current run.
Continuous Sync
Simulation state can remain synchronized with live farm data, allowing ongoing runs to reflect real-world changes as they happen.
Secure Authentication
All external API connections use OAuth 2.0 or API-key based authentication, with credentials managed securely per farm configuration.
Data Translation Layer
Different systems use different formats. Simulate.Farm includes a translation layer that converts incoming datasets into structured inputs compatible with the RuFaS model.
Format-agnostic ingestion
The translation layer acts as an intelligent bridge between heterogeneous data sources and the structured schema required by RuFaS. It normalises units, resolves field mappings, and flags inconsistencies before any simulation run.
Dataset Import
Accept CSV, JSON, and structured exports from farm systems.
Schema Translation
Convert external datasets into RuFaS input structures.
Data Validation
Check imported datasets for completeness and consistency.
From Data to Simulation
By connecting real-world farm data with scientific simulation models, Simulate.Farm enables users to explore management decisions in a realistic and data-informed environment.
Public datasets provide context and benchmarks.
On-farm systems provide operational reality.
Simulate.Farm connects both to the RuFaS simulation engine.