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Machine-Vision Technology Shows Promise to Reduce Herbicide Use

Farmers and land-managers seeking to reduce their herbicide applications now have another promising option via machine-vision technology. That's the summary from a recently published research article in Weed Technology.

"Our research showed that, on average, this technology's targeted sprays saved a range of 28.4 to 62.4% on postemergence herbicides compared to traditional broadcast applications," says Tristen Avent, University of Arkansas, Senior Graduate Assistant in the Crop, Soil, and Environmental Sciences Department, and corresponding author of the study.

"In addition to significant opportunities to lower herbicide costs and improve profits, our research also showed that the targeted applications from machine-vision technology can be utilized to provide some soybean health benefits and improve ."

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Predictive weed Management saves on herbicide costs and increases yield potential

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Gowan Canada is partnering with Geco Strategic Weed Management to help Canadian growers take a strategic approach to weed control through data-driven prediction and planning.

Geco’s technology uses data and AI to map where weeds have been over the past five years and predict where patches are likely to emerge next season. These insights allow farms and retailers to plan ahead and target actions in the most challenging areas.

“Our technology enables the question: if you could know where your most problematic patches are and where they are spreading to, what could you do differently? That’s what our technology makes possible,” said Greg Stewart, CEO of Geco. “Many of our farms are already using our prescriptions along with Gowan products, so this collaboration is a natural next step.”