Machine learning approach for predicting soil penetration resistance under different moisture conditions

IF 2.4 3区 工程技术 Q3 ENGINEERING, ENVIRONMENTAL Journal of Terramechanics Pub Date : 2023-12-01 DOI:10.1016/j.jterra.2023.08.002
Anis Elaoud , Hanen Ben Hassen , Rim Jalel , Nahla Ben Salah , Afif Masmoudi , Atef Masmoudi
{"title":"Machine learning approach for predicting soil penetration resistance under different moisture conditions","authors":"Anis Elaoud , Hanen Ben Hassen , Rim Jalel , Nahla Ben Salah , Afif Masmoudi , Atef Masmoudi","doi":"10.1016/j.jterra.2023.08.002","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":50023,"journal":{"name":"Journal of Terramechanics","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Terramechanics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022489823000678","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
不同湿度条件下土壤渗透阻力预测的机器学习方法
对重复设备(拖拉机、耕耘机等)通过后土壤压实现象的调查和评估被认为是保护农业土壤免受退化和维持可持续农业的预防性解决方案。事实上,目前还没有可靠的方法来预测土壤压实的主要原因,特别是在潮湿的土壤中。本研究应用人工神经网络(ANN)模型进行阻力渗透预测。使用从测量的实验值获得的阻力穿透(Rp)测试数据来训练模型。学习得分系数(0.96)、RMSE(0.51)和MAE(0.39)表明,ANN模型的预测与实测现场数据一致。结果表明,所建立的人工神经网络模型可以有效地预测不同水分条件下的土壤压实状态。这项工作将帮助农民优化机器使用,从而以最低成本提高产量。
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 去求助
来源期刊
Journal of Terramechanics
Journal of Terramechanics 工程技术-工程:环境
CiteScore
5.90
自引率
8.30%
发文量
33
审稿时长
15.3 weeks
期刊介绍: The Journal of Terramechanics is primarily devoted to scientific articles concerned with research, design, and equipment utilization in the field of terramechanics. The Journal of Terramechanics is the leading international journal serving the multidisciplinary global off-road vehicle and soil working machinery industries, and related user community, governmental agencies and universities. The Journal of Terramechanics provides a forum for those involved in research, development, design, innovation, testing, application and utilization of off-road vehicles and soil working machinery, and their sub-systems and components. The Journal presents a cross-section of technical papers, reviews, comments and discussions, and serves as a medium for recording recent progress in the field.
期刊最新文献
Modelling and simulation fundamentals in design for ground vehicle mobility Part II: Western approach Numerical analysis of tire mobility on deformable plastic clay in saturated conditions using total and effective stress frameworks Analysis of tire characteristics driving on asphalt paved roads covered with volcanic ash Modelling and simulation fundamentals in design for ground vehicle mobility part I: Eastern approach Towards more efficient tractors: Assessing and refining traction test procedures for agricultural tractors
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1