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The document presents a new semantic segmentation network called Space Atrous Depthwise Network (SADNet) for segmenting UAV images of orchards, achieving high pixel accuracy and mean intersection over union. It also details a method for constructing orchard raster maps and planning intra- and inter-row paths, which can assist agricultural robots in tasks like pesticide spraying and fruit harvesting. The proposed methods outperform existing models and provide a comprehensive solution for orchard navigation a

Author

E B

Language

EN