Insider Brief
- Carbon Robotics launched a Large Plant Model, an AI system trained on more than 150 million labeled plants to improve plant detection and identification across crops, weeds, and field conditions worldwide.
- The model underpins Carbon AI, which powers the company’s LaserWeeder and Autonomous Tractor Kit, enabling real-time decision-making for weeding, navigation, and adaptation as new field data is continuously ingested from deployed systems.
- Carbon Robotics also introduced Plant Profiles, a feature that allows farmers to quickly customize the model for specific crops and conditions using a small number of images, reducing setup time from weeks or months to minutes.
Carbon Robotics said it has launched an artificial intelligence system designed to improve plant detection and identification across a wide range of crops, weeds and growing conditions.
“When our robots can understand any plant in any field immediately and adapt behavior in real-time, farmers immediately get maximum value from the machines,” Paul Mikesell, Founder and CEO of Carbon Robotics, said in the announcement. “The Large Plant Model provides farmers with the most advanced AI technology to maximize the weeding quality of LaserWeeder in their unique environments.”
According to Carbon Robotics, the model has been trained on more than 150 million labeled plant images collected from fields worldwide, spanning different soil types, climates and growth stages. The company said the system allows farmers to deploy laser-based weed control more quickly by reducing the time required to configure models for new fields or crops.
The company’s Large Plant Model underpins Carbon AI, the software layer that operates across the company’s LaserWeeder machines and its Autonomous Tractor Kit for retrofitting existing tractors. Carbon AI processes field data in real time to support navigation, plant identification, and adaptive decision-making as conditions change. Data collected daily from deployed LaserWeeders is continuously fed back into the system, which the company says improves performance across its installed base.
Carbon Robotics also introduced Plant Profiles, a feature that allows operators to tailor the model to specific crops or field conditions using a small number of images captured in the field. The company said the approach is intended to shorten adaptation cycles from weeks or months to minutes, lowering setup friction for farmers.
The announcement coincides with public demonstrations of the technology at agricultural trade shows in Europe and the United States, as growers look for tools to reduce labor costs, limit herbicide use, and improve consistency in field operations.rop yield, quality, and consistency.
Learn more at carbonrobotics.com.
Image credit: Carbon Robotics
