01
Canopy and degraded positioning
Trees, terrain and nearby structures reduce satellite visibility. GNSS alone may not cover an entire working route.
Impact: deviations, overlap and missed strips
SMART AGRICULTURE / AGRICULTURE
Smart agriculture.
Bring control to every field pass.
Connect fused positioning, perception and machine control, from open fields to orchards under canopy. Build precision operations on navigation that can be validated in the field.
Canopy obstructionRow operations01 / FIELD CHALLENGES
Accuracy matters. So does continuity when conditions change.
Define the solution around actual operating conditions.
02
Vibration, turns and implement offset
Uneven ground changes machine attitude, while mounted or towed implements have offsets. Receiver position is not the same as the working point.
Impact: row errors and difficult headland transitions
03
Dust, lighting and connectivity
Backlighting, dirty lenses and dust affect vision. Remote fields also require separate assessments of corrections and communications.
Impact: inconsistent perception and limited remote coordination
02 / SOLUTION ARCHITECTURE
Connect positioning, perception and field control.
Use HopoEngine as the fusion foundation, configuring sensors, calibration and control interfaces for farm machines and robots. Define the operating scope, then validate tracking and exception handling.
HopoEngineSENSOR FUSION / NAVIGATION / INTEGRATION
GNSS / RTKOutdoor absolute reference
Inertial sensing / IMUMotion and attitude
Stereo visionDepth, texture and row context
mmWave radar · optionalComplementary range observations
SYNCHRONIZATION / CALIBRATION / FUSION
FUSION ENGINEHopoEngine
Fuse position and attitude with depth and status outputs
DEVICE & EXECUTIONMachine control / robot base
Connect existing controls and safety strategies through agreed interfaces.
APPLICATIONPath tracking and work records
Configure missions, records and feedback with the application system.
01
Positioning and attitude compensation
Combine GNSS, IMU and vision to improve adaptability during temporary obstruction. Calibrate sensor extrinsics, mounting height and implement offsets to align navigation with the working point.
Evaluate: position status, cross-track error and recovery
02
From field boundaries to path tracking
Connect planning and control using field boundaries, row spacing, implement width and turning limits. Evaluate headland turns, overlaps and missed areas across field operations.
Evaluate: working width, turning space and implement control
03
Perception and connectivity strategy
Choose vision and radar for the environment to support traversable-space and obstacle perception. Treat correction links and business communications separately, configuring local tasks and reporting by project.
Evaluate: sensing blind spots, link loss and exceptions
03 / MISSION WORKFLOW
From mission definition to execution and feedback.
- 01
Define the field
Boundaries, working width and exclusions
- 02
Plan the route
Spacing, turns and implement offsets
- 03
Navigate and execute
Track the route and perceive surroundings
- 04
Record and review
Tracks, exceptions and coverage
04 / APPLICATION FIT
Match the integration to the mission.
Precision field work
Connect navigation to existing controls for seeding, tillage and crop care.
Orchard operations
Validate canopy positioning, narrow-row access, turns and dynamic obstacles.
Connected farm operations
Connect tracks, status and task records as needed. Remote sensing and multispectral monitoring require dedicated payloads and systems.
05 / INTEGRATION & VALIDATION
Integrate with clear interfaces. Validate with field data.
O1 MAX / HopoEngineO1-series form factor illustration
NAVIGATION / EXECUTION
O1 MAX + HopoEngine
GNSS/IMU + monochrome stereo + mmWave radar
Begin with O1 MAX and the machine control interface, evaluating vibration, mounting, sensor fields of view and implement offsets.
Navigation outputs→Interfaces and frame alignment→Machine control and missions
View product and configurationThree groups of field validation criteria
Agree operating conditions and acceptance targets before comparing field results.
Tracking quality
Cross-track error, overlap and missed coverage
Positioning continuity
Obstruction duration, recovery and attitude stability
Operational adaptability
Slopes, dust, lighting and link variation
Capabilities depend on sensors, machine control, operating conditions and project scope. Confirm accuracy, perception and mission performance through field evaluation.
QUESTIONS / ANSWERS
Clarify the key questions before integration.
Define the environment, interfaces and delivered scope with HOPO.
Can operations continue without a network?
Confirm correction sources, local navigation and remote communications separately. Local execution may be suitable for some tasks; validate corrections, remote intervention and status synchronization in the field.
Can an existing farm machine be retrofitted?
Integration with existing steering or control systems can be evaluated. Feasibility depends on the machine, actuators, interfaces, mounting space and safety strategy. Start with prototype integration and field tests.
Is LEO augmentation available in every region?
LEO augmentation is a HOPO research direction. Coverage, receiver compatibility, correction delivery and service availability must be confirmed for each project.