Carbon robotics laserweeder g2 modular faster release

SEATTLE, USA — Carbon Robotics has unveiled the LaserWeeder G2, the latest generation of its autonomous, laser-based weeding platform that delivers precise, chemical-free weed removal using artificial intelligence and high-energy CO₂ lasers.

Operating Principle:
The system’s advanced vision models identify individual weeds within crop rows, allowing focused CO₂ lasers to deliver energy directly to the weed’s meristem tissue. Because the soil remains undisturbed and no herbicides are applied, LaserWeeder G2 avoids issues such as root pruning, herbicide resistance, and chemical residue. The new modular frame, bed-width options, and enhanced service access points make the G2 adaptable to a wider range of farm layouts and simplify maintenance.

On-Farm Considerations:
Farm crews are trained to manage operating speed, monitor screen data, and maintain optical components. Clean optics and proper calibration are key to achieving consistent performance. Economic benefits vary by crop and region — in areas where hand weeding costs are high or labor is scarce, laser systems can prove highly competitive. Growers also appreciate that laser passes can be scheduled around weather windows without concerns about herbicide drift or residue.

Evidence to Track:
Early adopters are gathering season-long data on weed-pressure reduction, hand-crew hours avoided, and yield response across different crops. These datasets will help growers compare laser solutions against mechanical cultivation or precision sprayers. As Carbon Robotics expands its fleet and data library, the accuracy of weed recognition and throughput rates are expected to improve further.

About Carbon Robotics
Founded in 2018, Carbon Robotics develops advanced robotic systems for sustainable agriculture. Its LaserWeeder technology combines deep-learning computer vision and high-power lasers to reduce chemical use, lower costs, and promote healthier soil. The company continues to advance automation that helps farmers meet productivity goals while minimizing environmental impact.