"What is and isn't a weed that needs to be eliminated in the field is determined by the eyes of the farmer - and now, increasingly, by a new AI model from Carbon Robotics. Seattle-based Carbon Robotics, which builds the LaserWeeder - a robot fleet that uses lasers to kill weeds - announced a new AI model, the Large Plant Model (LPM), on Monday. This model recognizes plant species instantly and allows farmers to target new weeds without needing to retrain the robots."
"The LPM is trained on more than 150 million photos and data points collected by the company's machines across the more than 100 farms in 15 countries where the robots currently operate. The model now powers Carbon AI, the AI system that serves as the brains inside the company's autonomous weed-killing robots. Paul Mikesell, the founder and CEO of Carbon Robotics, told TechCrunch that prior to LPM, every time a new type of weed would show up on a farm - or even the same type of weed in different soil or with a slightly different appearance - the company would have to create new data labels to retrain its machines to recognize the plant. This process took about 24 hours each time, Mikesell said. Now, LPM can learn a new weed instantly, even if it's never seen it before."
Carbon Robotics built the LaserWeeder fleet that uses lasers to kill weeds and released the Large Plant Model (LPM) to recognize plant species instantly. LPM was trained on more than 150 million photos and data points collected by machines operating on over 100 farms across 15 countries. The model powers Carbon AI, which runs inside the autonomous weed-killing robots. Prior workflows required creating new data labels and retraining machines, a process that took about 24 hours per new weed or variation. LPM enables immediate learning of previously unseen weeds and can be deployed via software update to existing systems.
Read at TechCrunch
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