AI vision weed detection model built by Penn State
Lawrence Arthur, doctoral candidate in the Department of Agricultural and Biological Engineering and first author of the study, tests the robotic precision sprayer under development at Penn State's Fruit Research and Extension Center in Biglerville (Image: Penn State)
A team from Penn State has developed an AI-vision model for guided robots to control apple orchard weeds

Register for FREE to keep reading
Join 10,000+ vision professionals driving innovation in automation, AI and imaging with:
- Expert insights on vision, robotics, AI & embedded tech
- Newsletters and features covering the full imaging landscape
- Visionaries series: leadership strategies in imaging
- Free panels on smart manufacturing & autonomy
- White Papers & updates for smarter integration
Sign up now
Already a member? Log in here
Your data is protected under our privacy policy.