RowCropPilot attaches to tractors and uses AI vision to spot and spray individual weeds in row crops, dramatically reducing herbicide use and improving yield.
RowCropPilot is a fully autonomous navigation system designed to guide tractors and implements precisely between crop rows — without relying on expensive GPS or complex infrastructure. Whether cultivating, spraying, or planting, RowCropPilot ensures centimeter-level accuracy using advanced machine vision and AI.
Built for farmers who want to automate repetitive tasks and reduce input costs, RowCropPilot is easy to install, highly adaptable, and optimized for crops like corn, soybeans, cotton, and other row crops. It brings cutting-edge autonomy to your existing equipment — no satellite signal required.
🎯 Camera-Based Row Detection – Vision-guided steering between rows, even in GPS-denied areas
🚜 Retrofits to Existing Equipment – Easily mounts on standard tractors and implements
🤖 Autonomous Navigation – Handles turns, row following, and headland maneuvers automatically
🧠AI-Powered – Learns crop geometry and adapts in real time to field conditions
📱 Simple Operator Interface – Touchscreen control with remote monitoring options
Boost productivity with automated field operations
Reduce operator fatigue and labor requirements
Maintain precision even in low-visibility or canopy-covered conditions
Eliminate reliance on GPS or RTK base stations
Affordable, scalable autonomy for every farm
RowCropPilot turns your existing machinery into a smart, self-steering system — giving you back time, precision, and control.
Battery Type | Tractor-powered |
Battery Life | N/A |
Payload Capacity | 400 liters (tank) |
Crop Type | Row crops |
Autonomy Level | Partial (guidance) |
Sensors | Cameras, RTK-GPS |
Year Released | 2020 |
Agriculture Specific
Attribute
Value
Description
Why It Matters
Crop Types
N/A
Compatible plant varieties
Application versatility
Field Conditions
N/A
Terrain and weather capability
Deployment reliability
Pesticide Resistance
N/A
Chemical exposure protection
Agricultural environment survival
GPS Accuracy
N/A
Positioning precision (cm)
Precise farming operations
Data Collection
N/A
Sensor types and capabilities
Farm management integration
Seasonal Operation
N/A
Year-round capability
Farming cycle coverage
Autonomy Level
N/A
Human supervision required
Labor cost reduction
Yield Impact
N/A
Crop yield improvement (%)
ROI demonstration
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