Path planning in advance to help with agricultural emissions and time management

Konsta Sarvela, Janne Kalmari, Hannu Haapala
{"title":"Path planning in advance to help with agricultural emissions and time management","authors":"Konsta Sarvela, Janne Kalmari, Hannu Haapala","doi":"10.33354/smst.143646","DOIUrl":null,"url":null,"abstract":"Regardless of the job, the saying 'well planned is half done' holds true. It is well known that in Finland, the agricultural season in spring and autumn is short and there is no extra time to spare. Therefore, it is good to prepare and plan the work in advance. Autopilot has been available for work machines for about ten years, but route planning programs are just making their entrance. Autopilot in itself does not save time unless it is more precise than a human or follows a faster route. With RTK correction, centimeter-accurate steering is achieved, which eliminates overlapping driving, but the routes can still be suboptimal. In the Smart Agriculture project in Tarvaala, we compared how much time is saved by pre-optimized driving routes compared to manually driven ones. The routes were created in the spring, outside the season, and on the conventional side, the same paths as always were driven, meaning the longest possible swath. The work phase was sowing and fertilization, and the plot was a rectangular 8-hectare block belonging to the project. The work phases were recorded in a task file, and from both halves, all breaks over 30 seconds, which we assumed were due to human reasons such as breaks and machine checks, were removed. The experiment revealed that the time saved by pre-created routes was 17% compared to the traditional way of driving. The field was familiar to the driver in advance. Even if one considers the time spent creating the routes, about 10 minutes, the savings are regained the following year when the routes do not change, as long as the field remains the same shape. Different routes can, of course, be created for different work phases, such as sowing routes at a 45-degree angle to the sowing tillage. Temporal savings also bring other benefits such as lower emissions through reduced total consumption and improved driver well-being through reduced working hours.","PeriodicalId":127337,"journal":{"name":"Suomen Maataloustieteellisen Seuran Tiedote","volume":"8 4","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Suomen Maataloustieteellisen Seuran Tiedote","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33354/smst.143646","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Regardless of the job, the saying 'well planned is half done' holds true. It is well known that in Finland, the agricultural season in spring and autumn is short and there is no extra time to spare. Therefore, it is good to prepare and plan the work in advance. Autopilot has been available for work machines for about ten years, but route planning programs are just making their entrance. Autopilot in itself does not save time unless it is more precise than a human or follows a faster route. With RTK correction, centimeter-accurate steering is achieved, which eliminates overlapping driving, but the routes can still be suboptimal. In the Smart Agriculture project in Tarvaala, we compared how much time is saved by pre-optimized driving routes compared to manually driven ones. The routes were created in the spring, outside the season, and on the conventional side, the same paths as always were driven, meaning the longest possible swath. The work phase was sowing and fertilization, and the plot was a rectangular 8-hectare block belonging to the project. The work phases were recorded in a task file, and from both halves, all breaks over 30 seconds, which we assumed were due to human reasons such as breaks and machine checks, were removed. The experiment revealed that the time saved by pre-created routes was 17% compared to the traditional way of driving. The field was familiar to the driver in advance. Even if one considers the time spent creating the routes, about 10 minutes, the savings are regained the following year when the routes do not change, as long as the field remains the same shape. Different routes can, of course, be created for different work phases, such as sowing routes at a 45-degree angle to the sowing tillage. Temporal savings also bring other benefits such as lower emissions through reduced total consumption and improved driver well-being through reduced working hours.
提前进行路径规划,有助于农业排放和时间管理
无论从事何种工作,"计划赶不上变化 "这句话都是真理。众所周知,芬兰春秋两季的农闲时间很短,没有多余的时间。因此,提前做好准备和工作计划是有好处的。自动驾驶技术在作业机械上的应用已有十年之久,但路线规划程序才刚刚问世。自动驾驶仪本身并不能节省时间,除非它比人类更精确或路线更快。通过 RTK 校正,可以实现厘米级精确转向,从而避免重叠驾驶,但路线仍然可能不是最佳路线。在塔尔瓦拉的智能农业项目中,我们比较了预先优化的驾驶路线与人工驾驶路线相比节省了多少时间。行驶路线是在春季季节外设定的,传统的行驶路线一如既往,也就是尽可能长的路线。工作阶段是播种和施肥,地块是属于项目的一个 8 公顷的矩形区块。工作阶段记录在一个任务文件中,从两个半程中删除所有超过 30 秒的休息时间,我们假定这些休息时间是由于休息和机器检查等人为原因造成的。实验结果表明,与传统驾驶方式相比,预设路线节省了 17% 的时间。驾驶员事先已经熟悉了行驶路线。即使考虑到创建路线所花费的时间(约 10 分钟),只要场地形状保持不变,第二年路线不变时,所节省的时间也能重新获得。当然,也可以为不同的工作阶段制定不同的路线,例如与播种耕作成 45 度角的播种路线。节省时间还能带来其他好处,例如通过降低总消耗量来减少排放,通过减少工作时间来改善驾驶员的健康状况。
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:604180095
Book学术官方微信