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AI brings precision to modern weed control

Automated systems are turning from the “way of the future” to our present lives. Artificial intelligence such as ChatGPT has shown there are impressive ways these programs can adapt and learn in the middle of a conversation or with new data input.

There are still plenty of kinks to iron out, however.

Xin Sun, associate professor of agricultural and biosystems engineering at North Dakota State University, was a part of a 2023 study looking at “deep learning,” or ways in which artificial intelligence is improving its ability to detect weeds.

He said this is still an evolving process, but significant progress is being made with site-specific weed management.

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Predictive weed Management saves on herbicide costs and increases yield potential

Video: predictive weed Management saves on herbicide costs and increases yield potential


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.”