Crop monitoring drone
Aerial surveys and image analysis for early signs of crop stress.
Development stage
Stage 2 of 8: research.
- Problem identification
- Research
- System architecture
- Simulation
- Prototype
- Testing
- Validation
- Production
Problem
Walking fields to scout for stress and disease is slow, and problems are often found late.
Solution
A multirotor with a camera payload flies planned survey missions; image analysis highlights areas that need attention.
Technology
- UAV systems
- Computer vision
- Mission planning
Hardware
- Multirotor frame
- Flight controller
- Camera payload
- GNSS
Software
- Mission planning tools
- Python
- Image analysis
Target outcomes
- Faster field coverage than manual scouting
- Maps that show where to look first
- Data for agronomy research
Team and media
Developed by the VEL Robotics R&D team.
Photos and video of this project will appear here.
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