This robot uses vision and manipulation technology to autonomously prune grapevines in vineyards, increasing efficiency and reducing manual labor costs.
The Grapevine Pruner by Vision Robotics is an advanced autonomous robot designed to transform vineyard management through intelligent, data-driven pruning. Engineered to improve labor efficiency and vine health, this robotic system combines high-resolution imaging, machine learning, and precision cutting tools to perform complex grapevine pruning tasks — with minimal human input.
Unlike traditional mechanized systems, the Vision Robotics Pruner uses a dual-arm design and stereo vision to evaluate each vine individually and execute precise pruning cuts. This improves vine uniformity, promotes higher yields, and reduces reliance on seasonal labor.
🍇 AI-Guided Precision Pruning – Uses advanced vision systems and algorithms to analyze and prune each vine based on growth patterns
🤖 Dual Robotic Arms – Executes accurate, synchronized cuts with minimal damage to the vine
👁️ 3D Vision Mapping – Captures detailed spatial data of each plant for real-time decision-making
⚙️ Customizable Pruning Strategies – Adjusts pruning logic based on grower preferences or vineyard conditions
🚜 Tractor-Mounted Platform – Easily integrates with existing vineyard equipment for seamless deployment
📊 Data Logging & Analysis – Records vine conditions and pruning history for future planning and monitoring
Reduce manual labor dependency and seasonal workforce challenges
Increase pruning consistency and vine health
Improve yield potential through optimized canopy management
Enhance data-driven decision-making in vineyard operations
Reduce operational costs over time
The Vision Robotics Grapevine Pruner brings the future of vineyard care to the present — offering smart, consistent, and scalable pruning for premium grape production.
Dimensions (LxWxH) | 2.5x1.5x2.0 m |
Weight | 1000 kg |
Battery Type | Diesel-electric |
Battery Life | 8 hours |
Payload Capacity | N/A |
Crop Type | Grapevines |
Autonomy Level | Partial (field trial) |
Sensors | Vision, GPS, force sensors |
Year Released | 2020 (prototype) |
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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