Visual Guidance System Lets Operators Cover More Ground with Less Stress Reduced driver fatigue, increased productivity, and minimizing crop damage are benefits of the Raven VSN™ Visual Guidance System for emerged crops.
VSN® transforms machine guidance through emerged crops. This patent-pending innovation utilizes a non-contact stereo vision camera to navigate crop rows, allowing the operator to focus on all other aspects of effective application control. Minimizing crop damage, covering more acres in a day and essentially providing an easier machine operation leads to a quick return on investment to maximize yield profitability.
Features & Benefits
- Reduces operator fatigue
- Enhanced steering control and simple operation results in minimal crop damage and more acres covered in each available day
- Operates at high speeds, up to 20 mph
- Operates in challenging terrains, with demonstrated success in areas exceeding 8° of slope
- Maintains row guidance in crops from less than four inches to nearly full canopy
- Quick, one-time calibration with up to five saved profiles for easy crop transitions
- Proven in corn, soybeans, cotton and sorghum
Confidently Apply in Full Canopy Crop
VSN’s new advancements help operators confidently and accurately operate machinery in additional types and stages of crop. Paired with the VSN visual guidance camera, VSN Full Canopy utilizes non-contact radar sensors to guide the machine in full canopy crop. This proactive approach precisely steers the machine at speeds up to 20 mph. This first-to-market, non-contact, multi-sensor approach maintains sub-inch accuracy through varying crop conditions.
- Allows the operator to cover 20% more acres due to increased speed, enables more efficient field planning, and ease of use
- Reduces driver fatigue, allowing operators to increase the average length of their workday
- Drastically reduces crop damage and misapplication in the field, which can cost growers yield and profit of up to 2%
- Outperforms and is easier to use than expensive/complicated RTK networks
