官方服务：
资源简介：
Cotton crop row centerline detection dataset(Augmentation).
应用场景：
创建时间：
2025-10-15
相关数据集
Strawberry_Fields_Crop_Rows_Dataset.zip
RGB images and Annotated Images under training and testing folder for semantic segmentation used for crop row guidance.
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大豆的田间作业需要精确控制作业路径以避免损伤作物并提高作业效率。传统人工驾驶无人车在大面积田间作业中存在效率低、精度差的问题。本模型通过无人车采集的大豆田影像数据，结合先进的分割模型 DINOv2，实现对田间行间的实时识别和路径规划，解决了无人车在田间行驶中路径定位与导航问题。通过该技术，无人车可以在大豆种植区域中自动识别田垄位置，规划最佳行驶路径，提高田间作业效率，降低作物损伤风险，并为精准农业
浙江省数据知识产权登记平台2026-09-07 更新10
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