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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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Episode 123: Alfalfa Research May Be in for a Long, Cold Winter

Video: Episode 123: Alfalfa Research May Be in for a Long, Cold Winter

Legumes are one of the most economical ways to improve feed quality, pasture performance and cattle productivity. Alfalfa has received the most breeding focus and is the most common and productive legume available, however, combining strong yields, grazing tolerance and winter hardiness in a single variety remains a challenge. In this episode, we explore Canadian research examining how different alfalfa varieties balance productivity, grazing resilience and survival in harsh northern climates.