WeedBot

WeedBot’s Lumina is a tractor-attached laser weeding machine that mounts via a standard three-point hitch and draws power from the tractor's PTO generator. Onboard cameras capture images of the crop bed and feed them to a computer vision system that distinguishes weeds from crops at 2-millimeter precision, identifying targets as small as 5 millimeters across. When the AI confirms a weed, a high-power laser thermally destroys it without disturbing the soil, applying chemicals, or using water. The modular frame adjusts from three to fifteen ridges, spanning up to six meters in a single pass, and operates at up to 600 meters per hour. Because the system relies on thermal energy rather than soil contact, it works in minimum-till fields where mechanical cultivators would disrupt soil structure. The AI is currently trained on carrot-weed datasets, with lettuce, beetroot, and onion recognition in development. A partnership with Enot optimized the neural network's image processing speed by 2.7 times while improving weed detection accuracy by 25 percent. The Lumina can run day and night, extending the weeding window beyond what hand crews or daylight-dependent machines allow.

Rather than asking organic vegetable growers to make a large capital investment in laser weeding equipment, WeedBot retains ownership of the Lumina and rents it on a per-hectare basis as a hardware-as-a-service model, converting what would be a major fixed expense into a variable cost that scales with the area actually treated. The per-hectare structure aligns WeedBot's revenue with its customers' growing seasons: fields that need more passes generate more rental income, while farmers only pay for work performed. As the AI expands to additional crop types, each new recognition model extends the addressable market without requiring new hardware: the same Lumina unit serves a carrot grower one season and a lettuce operation the next, increasing utilization across the fleet.