Static and dynamic cutting forces in coriander crop harvesting: Engineering insights for harvester optimization

IF 5.7 Q1 AGRICULTURAL ENGINEERING Smart agricultural technology Pub Date : 2025-03-01 Epub Date: 2025-01-04 DOI:10.1016/j.atech.2025.100772
Aruna T N , Pramod Kumar Sahoo , Dilip Kumar Kushwaha , Nrusingh Charan Pradhan , Kishan Kumar , Soumya Krishnan V , Madhusudan B S , Rohit Bhojyareddy Gaddamwar , Abhishek Pandey , Avesh Kumar Singh , Zoltan Orban , Ali Salem
{"title":"Static and dynamic cutting forces in coriander crop harvesting: Engineering insights for harvester optimization","authors":"Aruna T N ,&nbsp;Pramod Kumar Sahoo ,&nbsp;Dilip Kumar Kushwaha ,&nbsp;Nrusingh Charan Pradhan ,&nbsp;Kishan Kumar ,&nbsp;Soumya Krishnan V ,&nbsp;Madhusudan B S ,&nbsp;Rohit Bhojyareddy Gaddamwar ,&nbsp;Abhishek Pandey ,&nbsp;Avesh Kumar Singh ,&nbsp;Zoltan Orban ,&nbsp;Ali Salem","doi":"10.1016/j.atech.2025.100772","DOIUrl":null,"url":null,"abstract":"<div><div>The study investigates the mechanical requirements for harvesting coriander (<em>Coriandrum sativum</em> L.) by analyzing static and dynamic cutting forces for three distinct varieties: SIMCO, GCr1, and GCr2. Through controlled laboratory experiments, the static cutting force was measured using a texture analyzer across variations in blade speed (2, 4, 6, 8, and 10 mm/s), stem number (1–5), cutting height (50, 75, 100, 125, and 150 mm), and moisture content (23 %, 30 %, and 37 %). The static cutting force for SIMCO was found to be the highest (151.6 N), followed by GCr1 (145.68 N) and GCr2 (140.48 N), primarily due to stem structure and diameter differences. The dynamic cutting force was also measured in the indoor soil bin using a reciprocating cutter bar by simulating the field conditions at varied forward speeds (0.3, 0.6, 0.9, and 1.2 m/s), cutter bar speeds (2, 8, 14, and 20 strokes/s), and cutting heights (50, 75, 100, 125, and 150 mm). For dynamic cutting, the SIMCO variety required an average maximum force of 33.14 N, which was 6.85 % and 7.06 % higher than GCr1 and GCr2 respectively. The dynamic cutting forces were influenced most significantly by cutter bar speed and forward speed, with optimal cutting achieved at 20 strokes/s cutter bar speed and 0.3 m/s forward speed. Response Surface Methodology (RSM) models with R² values above 0.99 effectively predicted both static and dynamic cutting forces, indicating strong model adequacy and providing detailed insights into the interactions between parameters. The analysis revealed that the number of stems and blade speed were the primary influencers on static cutting force, while the dynamic force was most affected by cutter bar speed and forward speed. This study highlights the importance of customized parameter settings to enhance harvester efficiency, reduce energy consumption, and minimize seed damage during harvest.</div></div>","PeriodicalId":74813,"journal":{"name":"Smart agricultural technology","volume":"10 ","pages":"Article 100772"},"PeriodicalIF":5.7000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart agricultural technology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772375525000061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/4 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"AGRICULTURAL ENGINEERING","Score":null,"Total":0}
引用次数: 0

Abstract

The study investigates the mechanical requirements for harvesting coriander (Coriandrum sativum L.) by analyzing static and dynamic cutting forces for three distinct varieties: SIMCO, GCr1, and GCr2. Through controlled laboratory experiments, the static cutting force was measured using a texture analyzer across variations in blade speed (2, 4, 6, 8, and 10 mm/s), stem number (1–5), cutting height (50, 75, 100, 125, and 150 mm), and moisture content (23 %, 30 %, and 37 %). The static cutting force for SIMCO was found to be the highest (151.6 N), followed by GCr1 (145.68 N) and GCr2 (140.48 N), primarily due to stem structure and diameter differences. The dynamic cutting force was also measured in the indoor soil bin using a reciprocating cutter bar by simulating the field conditions at varied forward speeds (0.3, 0.6, 0.9, and 1.2 m/s), cutter bar speeds (2, 8, 14, and 20 strokes/s), and cutting heights (50, 75, 100, 125, and 150 mm). For dynamic cutting, the SIMCO variety required an average maximum force of 33.14 N, which was 6.85 % and 7.06 % higher than GCr1 and GCr2 respectively. The dynamic cutting forces were influenced most significantly by cutter bar speed and forward speed, with optimal cutting achieved at 20 strokes/s cutter bar speed and 0.3 m/s forward speed. Response Surface Methodology (RSM) models with R² values above 0.99 effectively predicted both static and dynamic cutting forces, indicating strong model adequacy and providing detailed insights into the interactions between parameters. The analysis revealed that the number of stems and blade speed were the primary influencers on static cutting force, while the dynamic force was most affected by cutter bar speed and forward speed. This study highlights the importance of customized parameter settings to enhance harvester efficiency, reduce energy consumption, and minimize seed damage during harvest.
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
收割芫荽作物时的静态和动态切割力:收割机优化的工程启示
本研究通过分析SIMCO、GCr1和GCr2三个不同品种香菜(Coriandrum sativum L.)的静态和动态切削力,研究了收获香菜(Coriandrum sativum L.)的机械要求。通过受控的实验室实验,使用纹理分析仪测量了叶片速度(2、4、6、8和10 mm/s)、茎数(1-5)、切割高度(50、75、100、125和150 mm)和水分含量(23%、30%和37%)的静态切削力。SIMCO的静态切削力最大(151.6 N),其次是GCr1 (145.68 N)和GCr2 (140.48 N),这主要是由于阀杆结构和直径的差异造成的。通过模拟不同前进速度(0.3、0.6、0.9和1.2 m/s)、刀杆速度(2、8、14和20冲程/s)和切割高度(50、75、100、125和150 mm)下的现场条件,利用往复刀杆在室内土槽中测量动态切削力。对于动态切削,SIMCO品种所需的平均最大切削力为33.14 N,分别比GCr1和GCr2高6.85%和7.06%。刀杆速度和前进速度对切削力的影响最大,在刀杆速度为20次/s、前进速度为0.3 m/s时切削力最佳。响应面法(RSM)模型的R²值大于0.99,可以有效地预测静态和动态切削力,表明模型充分性强,并提供了参数之间相互作用的详细信息。分析表明,刀杆数和刀片速度是影响静态切削力的主要因素,刀杆速度和前进速度对动态切削力的影响最大。该研究强调了定制参数设置对于提高收割机效率、降低能耗和最大限度地减少收获过程中的种子损害的重要性。
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
CiteScore
4.20
自引率
0.00%
发文量
0
期刊最新文献
Detection and gradation of sweet potato storage roots by machine vision and deep learning YOLO-EHS: A lightweight deep learning framework for Xinmei detection and Multi-scale integration in orchard Smart insemination protocols based on CHAID decision trees for precision reproductive management and improved prolificacy in Murciano-Granadina does A field-deployable smart phenotyping system for fine-grained chili variety identification from leaf morphology Spectral preprocessing methods combined with data downscaling techniques improved the prediction accuracy of soil structure indicators
×
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:604180095
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