Bespoke mapping built around your land.
FarmHUD does not force your property into a template. Every system begins with the real land.
Satellite imagery, drone capture, property boundaries, roads, water edges, buildings, crop blocks, fence lines, camera points, sensor points, and infrastructure routes. All of it mapped before a single line of intelligence is written.
What we map
Every physical element of your property, placed precisely.
The map is the foundation of everything. An alert is only meaningful when it is spatially anchored to a real place on real land. A sensor reading is only useful when it is placed in the context of the zone it belongs to.
This is why FarmHUD begins with mapping — not with software configuration.
Satellite imagery
High-resolution base layer captured at seasonal intervals to track vegetation and land-use change.
Drone imagery
Low-altitude capture for sub-metre accuracy across the full property at installation time.
Property boundaries
Legal and physical boundaries traced precisely — including waterfront edges, irregular fence lines, and road entries.
Internal roads
Access roads, internal tracks, turning areas, and loading zones mapped with surface type and camera coverage.
Water edges and features
Rivers, dams, tidal waterfront, irrigation channels, and water-point locations mapped and monitored.
Buildings and structures
Every structure named and placed: house, sheds, pump houses, machinery shelters, and storage.
Crop blocks
Production zones defined with variety, row orientation, and soil sensor positions.
Fence lines
Perimeter and internal fences mapped with type — electric, post-and-wire, temporary — and voltage sensor positions.
Camera positions
Exact camera locations with coverage arcs, height, field of view, and IR capability documented.
Sensor positions
Soil moisture probes, flow meters, motion sensors, and environmental monitors placed on the map.
Infrastructure routes
Cable runs, water supply lines, power feeds, and buried services mapped for safe excavation and fast fault diagnosis.
Security zones
Perimeter, gate, and high-risk areas defined with alert thresholds per zone.
Mapping process
Seven steps from site visit to live HUD map.
The mapping process is the first phase of every FarmHUD installation. It is not a background task — it is the most important work we do, because every subsequent layer of intelligence depends on it being right.
7
Mapping phases
<1m
Spatial accuracy
100%
Custom per property
Live
Map stays updated
Capture the property
We capture the property using drone and satellite imagery at multiple resolutions. The capture covers the full boundary, internal roads, water features, buildings, fencing, crop zones, camera positions, and key infrastructure. Nothing is assumed from a template — every pixel is your land.
Trace the real boundary
The property boundary is traced precisely — not as a rectangle, but as it actually exists. Irregular edges, waterfront curves, fence jogs, road entries, and neighbour boundaries are all represented accurately. This boundary becomes the outer shell of every HUD view.
Define operational zones
The land inside the boundary is divided into named operational zones based on how the property actually functions — not a generic grid. Paddocks, crop blocks, access roads, water points, buildings, security perimeters, and transition zones are all defined with real spatial data.
Mark infrastructure
Every physical element relevant to the HUD is placed on the map: camera positions with coverage arcs, sensor nodes, network cable routes, water supply lines, power infrastructure, underground pipes, and equipment locations. This layer prevents damage and enables fast fault diagnosis.
Connect data sources
Each zone and infrastructure point is connected to its live data sources — cameras, sensors, flow meters, voltage monitors, weather stations, and soil probes. The map is no longer static: it becomes the spatial index for all real-time data on the property.
Train movement and risk patterns
The ML model uses the zone map to understand context. An alert is not just an event — it is an event at a specific place, at a specific time, relative to a known pattern. The map defines what is normal so the system can recognise what is not.
Deploy the HUD
The finished map is the foundation of the heads-up display. Every HUD view, alert card, zone detail, and sensor reading is spatially anchored to the real property. When you look at the HUD, you are looking at your land.
Machine-learning context
FarmHUD learns what is normal on a specific property.
A person near a fence at 2am is not the same as animal movement near the waterfront. A vehicle at the gate during the day is not the same as a vehicle stopping on an internal road at night.
FarmHUD uses the zone, time, object, pattern, and risk profile to decide what matters. None of this is possible without a precise map of the property as the spatial context for every event.
Start with a map
Every FarmHUD installation begins with mapping your land.
The site assessment includes a first review of your property boundary, infrastructure, and zone priorities. This is where every bespoke installation starts.