PROJECT_003 // PRECISION AGRICULTURE
AGRIDRONE SWARM
// OVERVIEW
THE CHALLENGE
Modern agriculture faces efficiency crises: 30% of crops are lost to water stress, pests, and diseases not detected in time. Traditional monitoring methods are slow, expensive, and imprecise.
Compaiser deployed autonomous drone swarms with computer vision that monitor 24/7 every square meter of cropland, detecting problems before they're visible to the human eye.
// SOLUTION
SWARM INTELLIGENCE
32 drones operate coordinately using swarm algorithms inspired by bee behavior. Multispectral cameras capture images in 14 bands, revealing plant health invisible to the human eye.
The system increased crop yield by 45%, reduced water use by 38%, and pesticides by 62% through ultra-precise automated interventions.
// FIELD METRICS
+45%
YIELD INCREASE
32
ACTIVE DRONES
2,400
HECTARES
38%
WATER SAVINGS
// TECHNICAL STACK
HARDWARE
- - 32 autonomous DJI M300 drones
- - 14-band multispectral cameras
- - FLIR thermal sensors
- - Edge computing (Jetson Orin)
SOFTWARE
- - ROS 2 for coordination
- - YOLOv8 for pest detection
- - Segmentation models (U-Net)
- - Custom swarm algorithms
ANALYTICS
- - Vegetation indices (NDVI, NDRE)
- - Water stress prediction
- - Automatic prescription maps
- - Real-time dashboard (React)
READY TO DEPLOY?
Compaiser is accepting applications for the next cohort of autonomous ventures.
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