HIGHLIGHTS
- who: YOLO and collaborators from the Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China, Leibniz Institute for Agricultural AandF University, China have published the Article: Ag-YOLO: Detector for Precise Spraying With Case Study of Palms, in the Journal: (JOURNAL)
- what: The authors provide a thorough, complete description of the design, deployment, and assessment of an intelligent real-time agricultural object detection system based on embedded AI. - By proposing the Ag-YOLO object detection algorithm and testing it on the NCS2, the authors demonstrate that a DL-based CV algorithm can be implemented . . .
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