Why it matters
Without AI, misaligned shifts and weather gaps cause missed harvest windows, stressed dogs, inconsistent search effort, and higher risk of ungraded or rejected truffles.
From design to safety
Design
AI-guided harvest planning
Forecasts peak windows from historical weather, soil moisture, and dog performance indicators to shape initial shift plans and field access routes; integrates pasture connectivity, road grades, and access points for fleet movement.
- dog handler station
- weather station with sensors
- shift scheduling tablet and base station
Build
System layout and feeds
Install dog kennels, field beacons, weather sensors, rostering interfaces, and disaster recovery logs; link data streams for real-time calibration of hunt routes and vehicle paths.
- dog kennel
- truffle dog kennel
- weather station with sensors
- shift scheduling tablet and base station
Operation
Dynamic hunt orchestration
AI assigns teams, routes dogs to promising zones, and reoptimizes on-the-ground search based on real-time weather, dog fatigue metrics, and field density heatmaps.
- dog handler station
- truffle dog kennel
- weather station with sensors
- harvest timing timer and sensor array
Maintenance
Data health and retraining
Regularly verify dog performance logs, sensor calibrations, rostering accuracy, and model drift; retrain with seasonal data from harvests, weather events, and dog health checks.
- weather station with sensors
- harvest timing timer and sensor array
- shift scheduling tablet and base station
Safety
Access control and traceability
Record rosters, dog-handler identities, field access, and incident logs to ensure safety, legal compliance, and export-ready traceability across zones.
- gate control and security fencing panel
- shift scheduling tablet and base station
Part by part
- 1
dog handler station
- Watch for
- Mismatch between scheduled and actual handler presence; signs of handler fatigue or miscommunication during peak hours.
- AI action
- Flag rostering gaps; trigger alert to supervisor and reschedule if needed.
- 2
truffle dog kennel
- Watch for
- Degraded dog performance indicators or scent exhaustion during long shift blocks.
- AI action
- Recommend shift breaks or route adjustments; log canine health entry.
- 3
weather station with sensors
- Watch for
- Sudden temperature spikes, humidity drops, or wind shifts that alter hunt success.
- AI action
- Adjust hunt start times and route emphasis based on forecast likelihoods.
- 4
harvest timing timer and sensor array
- Watch for
- Discrepancies between observed dog hits and timer readings; sensor drift in peak windows.
- AI action
- Recalibrate timers; update peak window confidence for next shift.
- 5
gate control and security fencing panel
- Watch for
- Unauthorized access or door-open events during sensitive hours.
- AI action
- Lock sequences triggered by rosters and geofence checks.
- 6
mobile roster tablet and printers
- Watch for
- Roster version conflict or missing printouts before shift start.
- AI action
- Sync roster, push final printouts, and alert supervisor if conflicts persist.
Worked example
Scheduling to hit dusk window before heat
Illustrative scenario with sample data.
A 20-hectare block with 4 host trees species faces a dusk peak; dogs tire and weather shifts risk missing the window.
Signal in
date: 2026-11-04, forecast: clear, temp: 21C, humidity: 58%, wind: 6km/h, dogs: 4 teams, shifts: 3, zones: 5, rosters: updated
System out
AI assigns 3 teams to dusk window in Zone A and B, blocks a 30-minute buffer; sends alert to supervisor and prints roster.
Human sign-off: Grower reviews suggested rosters and confirms final plan for the dusk window.
How to roll it out
Phase 1
Weeks 1 to 2
Baseline data collection on dog performance, weather patterns, and shift preferences for initial scheduling model.
Phase 2
Weeks 3 to 6
Deploy scheduling AI with live weather feeds and dog health monitors; validate performance against manual rosters.
Phase 3
Weeks 7 onward
Refine model with seasonal data; standardize alerts, thresholds, and handover procedures to farm staff.
Where people stay in charge
- Decisions about safety-critical rosters and access controls must be approved by the orchard manager or designated safety officer.
- Rosters and access changes affecting export readiness require formal sign-off by the safety and compliance officer.
- Only qualified personnel may authorize changes that affect certified export readiness or food safety documentation.
Questions owners and crews ask
How does AI decide which dog teams work on a given day?
AI analyzes dog fatigue signals, historical success in zones, and current weather to assign teams for peak windows and rotate dogs to reduce fatigue.
What happens if weather suddenly changes?
The system reoptimizes routes and shifts in real time, sends alerts to handlers, and updates the roster to minimize missed peaks.
How is data kept safe for export and certification?
Rosters, dog health logs, and harvest records are stored with traceable timestamps and access controls reviewed by the safety officer.
Can growers adjust settings for different truffle species?
Yes, the model accepts species-specific performance data to adjust peak windows, scent priority zones, and handler assignments.