首页|Study Results from North Dakota State University in the Area of Robotics Publish ed (Field-based multispecies weed and crop detection using ground robots and adv anced YOLO models: A data and model-centric approach)
Study Results from North Dakota State University in the Area of Robotics Publish ed (Field-based multispecies weed and crop detection using ground robots and adv anced YOLO models: A data and model-centric approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on robotics is now availab le. According to news reporting originatingfrom Fargo, North Dakota, by NewsRx correspondents, research stated, “The implementation of a machinevisionsystem for real-time precision weed management is a crucial step towards the developmen t of smartspraying robotic vehicles. The intelligent machine-vision system, con structed using deep learning objectdetection models, has the potential to accur ately detect weeds and crops from images.”
North Dakota State UniversityFargoNo rth DakotaUnited StatesNorth and Central AmericaEmerging TechnologiesMac hine LearningMachine VisionNanorobotRobotics
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