CORC  > 北京大学  > 地球与空间科学学院
Automatic recognition method of operation status for agricultural machinery based on GNSS data mining
Cai, Yaping ; Wu, Caicong ; Luo, Mengjia ; Ding, Lianjun ; Su, Huaihong
2012
英文摘要To meet the application requirements like the automatic recognition of operation status for agricultural machinery, farmland and rural road network data updates, and so on, the matching templates of the agricultural machinery operation status are generated by data mining based on a historical GNSS dataset. Combining the field research and the historical tracks, the agricultural machinery operation is divided into four main types: parking status in the garage, transferring status on the road, working status in the field, and transferring status between the fields. Statistical analysis shows that the three features, which are location, speed and direction, can be used for data mining, and the feature map of agricultural machinery operation status is made and the matching templates are generated. Then the farmland data and road network topological diagram information are extracted. Experiments show that the templates have a good accuracy, better than 90%, and can meet the basic application demand mentioned above. ? 2012 Springer-Verlag GmbH.; EI; 0
语种英语
DOI标识10.1007/978-3-642-29187-6_13
内容类型其他
源URL[http://ir.pku.edu.cn/handle/20.500.11897/312338]  
专题地球与空间科学学院
推荐引用方式
GB/T 7714
Cai, Yaping,Wu, Caicong,Luo, Mengjia,et al. Automatic recognition method of operation status for agricultural machinery based on GNSS data mining. 2012-01-01.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace