Carbon Robotics, a global leader in agricultural artificial intelligence and robotics, has unveiled a groundbreaking advancement in farming technology with the launch of the world’s first Large Plant Model (LPM). This new AI model represents a major leap forward in precision agriculture, offering farmers the ability to identify and target weeds with unprecedented speed and accuracy. Trained on the largest, most diverse, and fastest-growing agricultural dataset ever assembled—comprising 150 million labeled plants—the LPM is designed to detect and classify plants across a vast range of crops and environments. The LPM is engineered to enable what Carbon Robotics calls “laser weeding in minutes,” allowing farmers to deploy autonomous weeding systems in any field or crop type almost immediately after setup. Unlike previous AI models that required extensive customization for specific crops or regions, the LPM’s broad training data enables it to generalize across diverse plant species, soil conditions, and growing stages. This reduces the need for time-consuming, crop-specific data collection and model retraining, dramatically lowering the barrier to entry for precision weed control. The model’s capabilities are built on a foundation of real-world agricultural data collected from farms around the globe. This dataset includes images and sensor data from a wide variety of crops—including corn, soybeans, cotton, and specialty vegetables—captured under different lighting, weather, and growth conditions. By training on such a comprehensive dataset, the LPM can accurately distinguish between crops and weeds, even in complex or early-stage growth scenarios where visual differences are subtle. Carbon Robotics’ laser weeding systems use this AI intelligence to guide high-powered lasers that destroy weeds at the seedling stage, eliminating the need for chemical herbicides. The new LPM significantly improves the speed and reliability of this process, allowing robots to scan, identify, and zap weeds in real time with minimal human intervention. This not only reduces labor costs but also supports sustainable farming by minimizing environmental impact and helping to combat herbicide resistance. The launch of the LPM is part of Carbon Robotics’ broader mission to revolutionize weed management through AI-driven automation. The company has already deployed its robotic weeding systems on thousands of acres across the United States, Canada, and Europe, with growing demand from both large-scale commercial farms and smaller operations seeking eco-friendly alternatives to traditional herbicide use. The LPM’s development reflects a larger trend in agriculture: the integration of large-scale AI models to solve complex, real-world challenges. Just as large language models have transformed natural language processing, the LPM is poised to do the same for plant recognition and agricultural automation. By enabling faster, more accurate plant detection, the model accelerates the adoption of autonomous farming technologies and supports the transition to more sustainable and efficient agricultural practices. Carbon Robotics emphasizes that the LPM is not just a technical achievement but a practical tool for farmers. It is designed to be easily integrated into existing robotic platforms and scalable across different farm sizes and crop types. The company continues to expand its dataset and refine the model’s performance, with ongoing updates to improve detection accuracy and adapt to new crops and growing conditions. This innovation comes at a critical time, as global agriculture faces mounting pressure to increase productivity while reducing environmental harm. With climate change, soil degradation, and rising input costs, farmers need smarter, more efficient tools. The LPM offers a powerful solution by combining AI, robotics, and sustainable practices in a single, scalable system. In summary, Carbon Robotics’ Large Plant Model marks a pivotal moment in the evolution of smart farming. By leveraging massive, diverse datasets and advanced AI, the company has created a tool that empowers farmers to weed with precision, speed, and sustainability—ushering in a new era of intelligent agriculture.