Agriculture
Agriculture Sensors
MechaSpin has developed a whole-vehicle (360 degree) collision detection and warning system for agricultural vehicles. This system detects objects as small as 10 cm and alerts operators before a collision occurs. This system can be used either standalone (audible or visual alerts) or integrated with computer-controlled machinery to stop the machine before a collision.
3D Lidar Enables Precision Agriculture for:
- 3D modeling
- Identifying and Analyzing Soil Type
- Agriculture planning and management
- Land mapping
- Yield Forecasting
- Land segmentation
- Crop analysis
- Production Zones
- Crop damage
3D Lidar Enables Precision Agriculture for:
- 3D modeling
- Identifying and Analyzing Soil Type
- Agriculture planning and management
- Land mapping
- Yield Forecasting
- Land segmentation
- Crop analysis
- Production Zones
- Crop damage
Vehicle Collision Warning System
Leveraging 3D Lidar we can map areas quickly and accurately. This is especially important for large areas like crop fields. Traditionally, Lidar has been used in agricultural settings to survey fields using drones to collect information for developing continual precision agriculture initiatives. Another use for Lidar is real-time 3D perception for autonomy and real-time decision-making capabilities.
Our customers at Harvest Croo Robotics needed a team that could merge the point clouds from 4 Lidar sensors to create a 360° shield around their Autonomous Strawberry Picker for collision avoidance (and autonomous row alignment).
Precision Navigation
MechaSpin has developed precision navigation systems that detects features in the field (e.g. rows and furrows) to provide higher-accuracy navigation corrections (approximately 2cm) for autonomous and computer-controlled agriculture equipment.
