UGV‐Based Precision Spraying System for Chemical Apple Blossom Thinning on Trellis Trained Canopies

IF 4.2 2区 计算机科学 Q2 ROBOTICS Journal of Field Robotics Pub Date : 2024-09-09 DOI:10.1002/rob.22435
Xinyang Mu, Long He, Paul Heinemann, James Schupp, Manoj Karkee, Minghui Zhu
{"title":"UGV‐Based Precision Spraying System for Chemical Apple Blossom Thinning on Trellis Trained Canopies","authors":"Xinyang Mu, Long He, Paul Heinemann, James Schupp, Manoj Karkee, Minghui Zhu","doi":"10.1002/rob.22435","DOIUrl":null,"url":null,"abstract":"Blossom thinning is one of the key steps in apple crop load management that improves the quality of apples, reduces stress on the trees, and avoids the likelihood of biennial bearing. Conventional chemical blossom thinning such as air‐blast spraying can lead to excessive use of chemical thinner to ensure full coverage, which can also cause leaf damage fruit russeting. In addition, a well‐trained operator is required to use these chemical spraying systems. To address these challenges, a UGV‐based precision spraying system was developed for automated and targeted chemical blossom thinning for apples. The system is capable of automatically driving along the tree row in the orchard environment during blooming stage, locating apple flower clusters to be thinned using a real‐time machine vision system, and precisely spraying the chemical thinner to the targeted flower clusters. A set of field tests were conducted to evaluate the performance of the UGV‐based target spraying system by comparing it to a conventional air‐blast sprayer (ABS) and a previous prototype named the cartesian target sprayer (CTS). Tests showed that the flower cluster detection reached a precision of 93.8%. The UGV‐based spraying system used 2.2 L of chemical thinner to finish the chemical thinning for 30 apple trees, followed by the ABS and CTS with 4.2 and 2.4 L usage, respectively. The robotic system also obtained an average fruit set of 2.2 per cluster after thinning, which was comparable to that with the air blast sprayer. The findings indicated that the robotic thinning system demonstrated a 66.7% reduction in chemical usage compared to the ABS and exhibited a 43.0% faster operational pace than the CTS, while attaining a comparable fruit set per cluster. The outcomes of the study provided guidance for developing a full scale robotic chemical thinning system for modern apple orchards.","PeriodicalId":192,"journal":{"name":"Journal of Field Robotics","volume":"5 1","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Field Robotics","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1002/rob.22435","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 0

Abstract

Blossom thinning is one of the key steps in apple crop load management that improves the quality of apples, reduces stress on the trees, and avoids the likelihood of biennial bearing. Conventional chemical blossom thinning such as air‐blast spraying can lead to excessive use of chemical thinner to ensure full coverage, which can also cause leaf damage fruit russeting. In addition, a well‐trained operator is required to use these chemical spraying systems. To address these challenges, a UGV‐based precision spraying system was developed for automated and targeted chemical blossom thinning for apples. The system is capable of automatically driving along the tree row in the orchard environment during blooming stage, locating apple flower clusters to be thinned using a real‐time machine vision system, and precisely spraying the chemical thinner to the targeted flower clusters. A set of field tests were conducted to evaluate the performance of the UGV‐based target spraying system by comparing it to a conventional air‐blast sprayer (ABS) and a previous prototype named the cartesian target sprayer (CTS). Tests showed that the flower cluster detection reached a precision of 93.8%. The UGV‐based spraying system used 2.2 L of chemical thinner to finish the chemical thinning for 30 apple trees, followed by the ABS and CTS with 4.2 and 2.4 L usage, respectively. The robotic system also obtained an average fruit set of 2.2 per cluster after thinning, which was comparable to that with the air blast sprayer. The findings indicated that the robotic thinning system demonstrated a 66.7% reduction in chemical usage compared to the ABS and exhibited a 43.0% faster operational pace than the CTS, while attaining a comparable fruit set per cluster. The outcomes of the study provided guidance for developing a full scale robotic chemical thinning system for modern apple orchards.
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
基于 UGV 的精准喷洒系统用于棚架栽培树冠上的苹果化学疏花
疏花是苹果作物负载管理的关键步骤之一,可提高苹果的质量,减少对果树的压力,并避免出现两年生的可能性。传统的化学疏花方法(如喷洒气雾剂)会导致过度使用化学稀释剂以确保全面覆盖,这也会造成叶片损伤和果实赤褐色。此外,使用这些化学喷洒系统还需要训练有素的操作人员。为了应对这些挑战,我们开发了一种基于 UGV 的精确喷洒系统,用于对苹果进行自动和有针对性的化学疏花。该系统能够在开花期自动沿着果园环境中的树行行驶,利用实时机器视觉系统定位需要疏花的苹果花簇,并向目标花簇精确喷洒化学疏花剂。为了评估基于 UGV 的目标喷洒系统的性能,我们进行了一系列实地测试,将其与传统的空气喷洒器(ABS)和以前的原型机--卡特斯目标喷洒器(CTS)--进行了比较。测试表明,花簇检测精度达到了 93.8%。基于 UGV 的喷洒系统使用 2.2 升化学稀释剂完成了 30 棵苹果树的化学疏果,其次是 ABS 和 CTS,用量分别为 4.2 升和 2.4 升。疏果后,机器人系统每簇平均坐果 2.2 个,与气雾喷洒器相当。研究结果表明,与自动疏果系统相比,机器人疏果系统减少了 66.7% 的化学品用量,作业速度比 CTS 快 43.0%,同时每簇坐果率相当。研究结果为开发适用于现代苹果园的全规模机器人化学疏果系统提供了指导。
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 Field Robotics
Journal of Field Robotics 工程技术-机器人学
CiteScore
15.00
自引率
3.60%
发文量
80
审稿时长
6 months
期刊介绍: The Journal of Field Robotics seeks to promote scholarly publications dealing with the fundamentals of robotics in unstructured and dynamic environments. The Journal focuses on experimental robotics and encourages publication of work that has both theoretical and practical significance.
期刊最新文献
Issue Information Cover Image, Volume 42, Number 1, January 2025 Back Cover, Volume 42, Number 1, January 2025 Issue Information Cover Image, Volume 41, Number 8, December 2024
×
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