首页|Researchers from China Agricultural University Describe Research in Robotics (Re cognition and Positioning of Strawberries Based on Improved YOLOv7 and RGB-D Sen sing)
Researchers from China Agricultural University Describe Research in Robotics (Re cognition and Positioning of Strawberries Based on Improved YOLOv7 and RGB-D Sen sing)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in robotic s. According to news reporting from Beijing, People’s Republic of China, by News Rx journalists, research stated, “To improve the speed and accuracy of the metho ds used for the recognition and positioning of strawberry plants, this paper is concerned with the detection of elevated-substrate strawberries and their pickin g points, using a strawberry picking robot, based on the You Only Look Once vers ion 7 (YOLOv7) object detection algorithm and Red Green Blue- Depth (RGB-D) sensi ng. Modifications to the YOLOv7 model include the integration of more efficient modules, incorporation of attention mechanisms, elimination of superfluous featu re layers, and the addition of layers dedicated to the detection of smaller targ ets.” Funders for this research include National Natural Science Foundation of China; National Key Research And Development Program of China.
China Agricultural University, Beijing, People’s Republic of China, Asia, Emerging Technologies, Machine Learning, Robot , Robotics