AI-powered Laserweeding: A New Tool for Weed Control
The LaserWeeder is a pull-behind robot that seamlessly attaches to the back of tractors. LaserWeeder combines AI, computer vision software, deep learning models and lasers to identify weeds and target them for elimination.
Carbon Robotics Adds Industry's First LaserThinning Capability to its AI-powered LaserWeeder
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The company's LaserWeeder surpasses 500 million weeds eliminated across 40 different crops. 2023 deliveries will bring LaserWeeders to farms in 17 U.S. states and three provinces in Canada
Propane Flame Weeding Provides Optimal Solution to Herbicide Shortages, Weed Resistance Issues
New propane flame weeding technology uses heat to rupture the internal cells of plants for a clean, highly effective solution for weed control that reduces reliance on herbicides and combats increasing weed resistance issues.
Autonomous weeding and its future in Agriculture
The demand for LaserWeeders is enormous. We are just getting started on our mission to help farmers reduce chemical use, minimize tilling, and overcome labor challenges associated with conventional weed control methods.
Carbon Robotics Closes $27 Million In Series B Financing Round Led by Anthos Capital
The Autonomous Weeder is an autonomous robot that utilizes high-power lasers to eradicate weeds through thermal energy without disturbing the soil. The robot allows farmers to use less herbicides and reduce labor.
Can Artificial Intelligence Help Growers Win the Weed Wars?
There are few herbicides available for specialty crops, making hand weeding the "go to" process. Could intelligent weeding machines be the answer? Based on technology advances made to date, experts say the answer is likely yes.
WSSA Asks: Is Unmanned Aerial Weed Control Ready for Takeoff?
Unmanned aerial vehicles (UAVs), commonly referred to as drones, may soon revolutionize weed management. Equipped with the right tools, researchers say they can be quite effective at both finding and treating problem weeds.
App with Instant Photo Recognition and A.I. Power Speeds Identification of Weeds and Disease
"With the xarvio™ SCOUTING app, anyone with a smartphone can identify weed and disease threats on a variety of crops, such as corn and soybean," said David Gray, Commercial & Business Development Manager for xarvio™.
Robots fight weeds in challenge to agrochemical giants
In a field of sugar beet in Switzerland, a solar-powered robot that looks like a table on wheels scans the rows of crops with its camera, identifies weeds and zaps them with jets of blue liquid from its mechanical tentacles.
Detecting Weeds with MicaSense Atlas and RedEdge
The weed detection layers in MicaSense Atlas are designed to help growers identify and differentiate weeds from planted crops based on plant chlorophyll content. Each layer has a different combination of bands and color composite
Digital Technology Meets Agronomy
Pam Smith for The Progressive Farmer: Drones buzzed overhead a tractor and spray boom projected images to simulate how spray nozzles can use new technology to spray only where weeds had escaped previous controls.
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How to overcome GNSS limitations with RTK correction services
Although GNSS offers ubiquitous coverage worldwide, its accuracy can be hindered in some situations - signals can be attenuated by heavy vegetation, for example, or obstructed by tall buildings in dense urban canyons. This results in signals being received indirectly or via the multipath effect, leading to inaccuracy, or even blocked entirely. Unimpeded GNSS positioning in all real world scenarios is therefore unrealistic - creating a need for supporting technologies, such as real time kinematic (RTK) positioning and dead reckoning, to enable centimeter-accuracy for newer mass-market IoT devices.
