Farm Data

Named perimeter sections with individual status and alert thresholds.

Live voltage reading per electric section. Drops below threshold trigger instant alert.

Short, break, and grounding faults logged with timestamp and location.

Every gate cycle logged. Open duration tracked. Unscheduled open triggers alert.

Vehicle and person detection on access road. Speed and direction noted.

ML classification distinguishes workers, guests, and unknown individuals.

Known property vehicles matched against licence plate or silhouette. Unknown flagged.

Livestock and wildlife classified separately. Unusual movement patterns surfaced.

After-dark movement given higher alert weight. Thermal camera data integrated where fitted.

Stationary detection near boundary or gate beyond defined time threshold.

Connection, focus, and IR status of every camera checked continuously.

Coverage gaps mapped and flagged for review during installation.

Full timestamped log of every alert, classification, and resolution action.

Who acknowledged, what action was taken, and how long it took to resolve.

Running, idle, fault, or off. Power draw monitored where metered.

Daily and cumulative runtime per pump. Excessive runtime flags potential leak.

Named irrigation circuits with scheduled and actual run records.

Open/close events for all monitored valves. Stuck or failed valves flagged.

Pressure sensors upstream and downstream of key valves and pumps.

Unexpected flow outside schedule detected and alerted. Possible leak indicator.

Sustained off-schedule flow logged as potential leak and escalated.

Float or ultrasonic sensors report tank fill percentage in the HUD.

Tidal data, dam level, and source quality notes integrated where applicable.

Programmed schedules visible in the HUD alongside actual execution records.

Soil moisture readings correlated with irrigation events to confirm efficacy.

Mapped zones tied to named varieties, planting records, and sensor positions.

Sow and transplant dates recorded per block. Days since planting tracked.

Variety and source recorded. Relevant risk profiles associated automatically.

Physical row and bay count logged for yield estimation and task planning.

Estimated or surveyed plant count per block. Used for loss tracking.

Current phenological stage tracked and displayed. Stage-specific risks surfaced.

Sensor readings per block. Below-threshold triggers irrigation recommendation.

Frost, heat, hail, and wind risk overlaid against current growth stage.

Sustained high humidity flagged against disease-susceptible varieties.

Conditions conducive to common diseases modelled per variety and region.

Upcoming and overdue tasks per block — spray, prune, train, monitor.

Projected harvest window based on planting date, variety, and growing conditions.

Post-harvest yield recorded per block for season-on-season comparison.

Named structures with associated camera coverage, access control, and power feed.

Internal roads mapped with surface type, camera coverage, and condition notes.

Every camera logged with position, coverage angle, model, and health status.

All sensor nodes mapped with type, install date, last calibration, and battery.

PoE switches, wireless APs, and fibre/cable runs mapped and monitored.

Live generation, export, and storage status from connected solar systems.

Storage battery state of charge. Low threshold triggers infrastructure alert.

Grid outage logged with duration. UPS and generator switchover recorded.

Auto-start events, runtime, fuel level (where monitored), and service due.

Underground and in-wall cable paths mapped in the HUD for safe excavation.

Buried water supply and irrigation lines mapped to prevent accidental damage.

Significant equipment registered with last-known position and maintenance due.

Scheduled and condition-triggered maintenance tasks surfaced in the HUD.

Movement patterns logged per paddock or zone. Unusual routing flagged.

Frequency and timing of stock visits to troughs and dams recorded.

Sustained activity along fence sections flagged as potential escape risk.

Clustering, avoidance zones, or route changes surfaced as behavioural anomalies.

After-dark movement classified and reviewed. Wildlife vs. livestock distinguished.

Stock proximity to an open gate triggers elevated alert for mob escape risk.

Household members with full or defined HUD access. Activity patterns logged.

Named workers with assigned zones, tasks, and check-in confirmation.

Guests receive a simplified view — safe paths, gate codes, contact info. No security data.

Contractors restricted to defined work zones. Entry and exit logged.

Zones marked restricted. Any access triggers alert regardless of person type.

Workers mark tasks complete in the HUD. Owner notified. History retained.

Granular permission layers per person. Crop data, security alerts, and infrastructure maps each controlled independently.