Oxytetracycline injection using automated trunk injection compared to manual injection systems for HLB-affected citrus trees

IF 7.7 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Computers and Electronics in Agriculture Pub Date : 2024-09-07 DOI:10.1016/j.compag.2024.109430
{"title":"Oxytetracycline injection using automated trunk injection compared to manual injection systems for HLB-affected citrus trees","authors":"","doi":"10.1016/j.compag.2024.109430","DOIUrl":null,"url":null,"abstract":"<div><p>The manual injection of therapeutic materials to trees is laborious and time-consuming, posing implementation challenges for commercial citrus growers. Compared to manual injection, a previously developed automated trunk injection mechanism reduced the labor required and the size of the injection port. The injection system has now been field-tested on HLB-infected Glen Navel orange trees grafted onto ’Swingle’ citrumelo rootstock while applying oxytetracycline hydrochloride (OTC) and water. The multi-puncture drill-free injection mechanism creates injection ports using a needle attached to an end effector and delivers the required volume of liquids using a metering pump. Injection parameters, including injection duration, pressure, and flow rate, were examined while performing injections, and a comparison was made with a manual trunk injection device commonly used for OTC injection of HLB-affected citrus trees. Maximum pressure was not significantly different between the automated and manual injection systems and for the different liquids injected (100 ml of 5500 ppm OTC, 11000 ppm OTC, and deionized water) as 0.1735 ± 0.054 MPa. However, the automated system had a significantly higher flow rate, decreasing injection duration by 81 times compared to the manual injection. Modifications and improvements to the previously developed automated injection system are also described, including the development of a clog-free needle, automation of the positioning arm, and a control system capable of delivering precise volume to each injection port on both sides of a tree trunk.</p></div>","PeriodicalId":50627,"journal":{"name":"Computers and Electronics in Agriculture","volume":null,"pages":null},"PeriodicalIF":7.7000,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Electronics in Agriculture","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168169924008214","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

The manual injection of therapeutic materials to trees is laborious and time-consuming, posing implementation challenges for commercial citrus growers. Compared to manual injection, a previously developed automated trunk injection mechanism reduced the labor required and the size of the injection port. The injection system has now been field-tested on HLB-infected Glen Navel orange trees grafted onto ’Swingle’ citrumelo rootstock while applying oxytetracycline hydrochloride (OTC) and water. The multi-puncture drill-free injection mechanism creates injection ports using a needle attached to an end effector and delivers the required volume of liquids using a metering pump. Injection parameters, including injection duration, pressure, and flow rate, were examined while performing injections, and a comparison was made with a manual trunk injection device commonly used for OTC injection of HLB-affected citrus trees. Maximum pressure was not significantly different between the automated and manual injection systems and for the different liquids injected (100 ml of 5500 ppm OTC, 11000 ppm OTC, and deionized water) as 0.1735 ± 0.054 MPa. However, the automated system had a significantly higher flow rate, decreasing injection duration by 81 times compared to the manual injection. Modifications and improvements to the previously developed automated injection system are also described, including the development of a clog-free needle, automation of the positioning arm, and a control system capable of delivering precise volume to each injection port on both sides of a tree trunk.

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
使用自动树干注射系统与手动注射系统对受 HLB 影响的柑橘树注射土霉素进行比较
人工向果树注射治疗材料既费力又费时,这给商业柑橘种植者带来了实施方面的挑战。与人工注射相比,之前开发的自动树干注射机制减少了所需的劳动力和注射口的大小。现在,该注射系统已在嫁接到 "Swingle "柠檬砧木上的感染 HLB 的格伦脐橙树上进行了实地测试,同时施用盐酸土霉素(OTC)和水。多孔无钻注射机制使用连接到末端效应器上的针头创建注射口,并使用计量泵输送所需体积的液体。在进行注射时,对注射参数(包括注射持续时间、压力和流速)进行了检查,并与常用于对受 HLB 影响的柑橘树进行 OTC 注射的手动树干注射装置进行了比较。自动注射系统和手动注射系统的最大压力差异不大,不同注射液体(100 毫升 5500 ppm OTC、11000 ppm OTC 和去离子水)的最大压力为 0.1735 ± 0.054 兆帕。不过,与手动注射相比,自动系统的流速明显更高,注射持续时间缩短了 81 倍。此外,还介绍了对之前开发的自动注射系统进行的修改和改进,包括开发无堵塞针头、定位臂自动化以及能够向树干两侧的每个注射口提供精确注射量的控制系统。
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
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
期刊最新文献
TrackPlant3D: 3D organ growth tracking framework for organ-level dynamic phenotyping Camouflaged cotton bollworm instance segmentation based on PVT and Mask R-CNN Path planning of manure-robot cleaners using grid-based reinforcement learning Immersive human-machine teleoperation framework for precision agriculture: Integrating UAV-based digital mapping and virtual reality control Improving soil moisture prediction with deep learning and machine learning models
×
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