The Path Planning of Agricultural AGV in Potato Ridge Cultivation

Tongning Mai, Shiquan Shao, Zehui Yun
{"title":"The Path Planning of Agricultural AGV in Potato Ridge Cultivation","authors":"Tongning Mai, Shiquan Shao, Zehui Yun","doi":"10.22606/AS.2019.32003","DOIUrl":null,"url":null,"abstract":"In order to ensure that the agricultural AGV spend least time in the multi-point monitoring process, this paper analyzes the characteristics of the ridge farmland and proposes a path planning algorithm in the ridge farmland based on ant colony algorithm. The actual distance between each monitoring point is discussed in detail. The problem of path planning of multi-point measurement in ridge farmland is transformed into TSP problem. By establishing a suitable model and using Matlab to simulate the path planning algorithm, the results show that the algorithm is feasible.","PeriodicalId":250709,"journal":{"name":"Annals of Advanced Agricultural Sciences","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Advanced Agricultural Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22606/AS.2019.32003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

In order to ensure that the agricultural AGV spend least time in the multi-point monitoring process, this paper analyzes the characteristics of the ridge farmland and proposes a path planning algorithm in the ridge farmland based on ant colony algorithm. The actual distance between each monitoring point is discussed in detail. The problem of path planning of multi-point measurement in ridge farmland is transformed into TSP problem. By establishing a suitable model and using Matlab to simulate the path planning algorithm, the results show that the algorithm is feasible.
农业AGV在马铃薯垄作中的路径规划
为了保证农业AGV在多点监测过程中花费的时间最少,本文分析了山脊农田的特点,提出了一种基于蚁群算法的山脊农田路径规划算法。详细讨论了各监测点之间的实际距离。将坡耕地多点测量路径规划问题转化为TSP问题。通过建立合适的模型,利用Matlab对路径规划算法进行仿真,结果表明该算法是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信