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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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Adapting to ESA: Spray Drift

Video: Adapting to ESA: Spray Drift


In part 3 of CropLife America’s “Adapting to ESA” instructional video series, learn how to use the EPA’s Pesticide App for Label Mitigations (PALM) to help evaluate and document spray drift mitigation practices. Dr. Stanley Culpepper, a leading weed science specialist with the University of Georgia Cooperative Extension, provides a walkthrough of the tool.