Observation
- Data source
- Observation time
- Field zone
Fleet & Sense
Plan machinery operations around field data.
Fleet & Sense brings together sensors, robotic machinery, drones, and service workflows. Observations become tasks, and completed operations return to AI DataCore as verified records.
AI DataCore
ObservationSpecialist reviewApproved task
One dispatch workflow for observation and execution.
Sense handles observation; Fleet handles execution. AI DataCore connects them in one workflow: understand field conditions, prepare an approved action, dispatch the task, and retain telemetry from the actual field pass. Equipment stays connected to the agronomic objective and the record of its execution.
- 01
Sensor
- 02
DataCore
Signal review
- Field context
- Supporting evidence
- Recommendation
- 03
Specialist
Approved task
- Operation
- Work zone
- Specialist confirmation
- 04
Machinery
Execution
- Approved route
- Actual field pass
- Telemetry
- 05
Report
Digital report
- Task completion
- Actual route
- Supporting records
Illustrative workflow · Each record stays connected to the same field task.
Machinery already operating on the farm can connect to Fleet through the integration layer and carry out approved tasks alongside autonomous modules.
Ground equipment
Fleet sends approved tasks to ground equipment and retains execution data.
A fleet of autonomous electric tractors for direct seeding, including cover crops. The machinery mows vegetation and applies fertilizers according to an approved prescription map tailored to field zones.
Aerial equipment
Aerial modules are part of the GebField ecosystem for observation and execution.
Mobile AgriDrone Fleet
A mobile system combining a carrier van, a drone fleet, a scout drone, a robotic service station, and an analytics layer for deployment, scouting, data collection, and service operations.
Scout Drone
A Mobile AgriDrone Fleet component that observes fields and collects factual data, generating signals for specialist review.
Heavy Spray Drone
A heavy-duty agricultural drone for targeted application of crop protection products, fertilizers, biological products, and biostimulants where permitted and with operator approval.
Application is subject to local regulations, permitted operating conditions, and operator approval.
- 01
Deployment
- 02
Observation
- 03
Specialist review
- 04
Permitted operation
- 05
Report
Sensors and monitoring
Sensors form the ecosystem’s observation layer. They capture local signals and send them to DataCore for review in the context of the field.
Weather
An autonomous field station for monitoring weather, soil and crop conditions, microclimate, insects, diseases, and biological risks.
Illustrative observation
- Source
- Field weather station
- Time & location
- Observation timestamp · Field zone
- Review
- Specialist review required
Pest Sentinel
An autonomous pest monitoring station with a camera, trap, sensors, AI recognition, and automated counting. It generates a signal for specialist review rather than replacing crop protection decisions.
Illustrative observation
- Source
- Pest monitoring station
- Time & location
- Observation timestamp · Field zone
- Review
- Specialist review required
External data
Moisture and temperature data tied to a specific zone and observation time for a more contextual understanding of field conditions.
Illustrative observation
- Source
- External data provider
- Time & location
- Observation timestamp · Field zone
- Review
- Specialist review required
Livestock equipment
Livestock modules help collect observations on animal condition and support managed grazing workflows.
Smart Collar
An AI-enabled collar for monitoring activity, rumination, feeding, lying time, breathing, health indicators, reproductive cycles, comfort, and movement. Signals help specialists notice changes earlier and assess them in the context of the herd.
Smart Fence
A virtual fencing and herd management system based on Smart Collar, geofences, behavioral analytics, and AI alerts. It supports rotational grazing and clear rules for managing animal movement.
Illustrative grazing plan
Managed grazing
Grazing zones
Geofences define the boundaries of the grazing area.
Herd movement
Movement records support rotational grazing.
Operator confirmation
An operator reviews the grazing plan and movement rules.
Track mission progress and review the execution report.
The dispatch center, coordinated by the Fleet AI agent, connects each task to machinery operations. A specialist reviews the route, monitors mission progress, and receives a digital report of the result.
Planning
Fleet receives an approved task with a work zone and route. Before launch, a specialist reviews mission parameters and makes adjustments where needed.
- Task
- Approved operation
- Area
- Field zone and planned route
- Review
- Specialist confirmation before launch
