入侵杂草检测和控制的进展与发展:当前挑战和未来机遇的全球审查

IF 2.1 2区 农林科学 Q2 AGRONOMY
Weed Science Pub Date : 2024-02-29 DOI:10.1017/wsc.2024.13
Jason D. Roberts, S. Florentine
{"title":"入侵杂草检测和控制的进展与发展:当前挑战和未来机遇的全球审查","authors":"Jason D. Roberts, S. Florentine","doi":"10.1017/wsc.2024.13","DOIUrl":null,"url":null,"abstract":"\n Weed invasion has become increasingly recognised as a major threat to the practice of sustainable agriculture and the maintenance of natural ecosystems around the world. Without effective and ongoing management strategies, many weed species have the aggressive capacity to alter ecosystem functions and reduce the economic potential of the land in which they have been introduced. Although traditional weed management strategies can be useful in eliminating certain weeds, these approaches can be costly, economically damaging, laborious and result in variable long-term success. To further add to these challenges, several weed species have now developed resistance to a range of herbicide modes of action, which, to date, have been the major mechanism of weed control. As a result, it is anticipated that the use of emerging technology will help to provide a solution for the economical and environmentally sustainable management of various weeds. Of particular interest, emerging technology in the areas of weed detection and control (chemical, mechanical, electrical, laser and thermal), have all shown promising signs of improving long-term weed management strategies. These methods can also be assisted with, or integrated alongside, other technology such as artificial intelligence or computer vision techniques for improved efficiency. To provide an overview of this topic, this review evaluates a range of emerging technology used for the detection and control of various weeds and explores the challenges and opportunities of their application within the field.","PeriodicalId":23688,"journal":{"name":"Weed Science","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advancements and developments in the detection and control of invasive weeds: a global review of the current challenges and future opportunities\",\"authors\":\"Jason D. Roberts, S. Florentine\",\"doi\":\"10.1017/wsc.2024.13\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Weed invasion has become increasingly recognised as a major threat to the practice of sustainable agriculture and the maintenance of natural ecosystems around the world. Without effective and ongoing management strategies, many weed species have the aggressive capacity to alter ecosystem functions and reduce the economic potential of the land in which they have been introduced. Although traditional weed management strategies can be useful in eliminating certain weeds, these approaches can be costly, economically damaging, laborious and result in variable long-term success. To further add to these challenges, several weed species have now developed resistance to a range of herbicide modes of action, which, to date, have been the major mechanism of weed control. As a result, it is anticipated that the use of emerging technology will help to provide a solution for the economical and environmentally sustainable management of various weeds. Of particular interest, emerging technology in the areas of weed detection and control (chemical, mechanical, electrical, laser and thermal), have all shown promising signs of improving long-term weed management strategies. These methods can also be assisted with, or integrated alongside, other technology such as artificial intelligence or computer vision techniques for improved efficiency. To provide an overview of this topic, this review evaluates a range of emerging technology used for the detection and control of various weeds and explores the challenges and opportunities of their application within the field.\",\"PeriodicalId\":23688,\"journal\":{\"name\":\"Weed Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-02-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Weed Science\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1017/wsc.2024.13\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AGRONOMY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Weed Science","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1017/wsc.2024.13","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0

摘要

人们日益认识到,杂草入侵是对全球可持续农业实践和自然生态系统维护的一大威胁。如果没有有效和持续的管理策略,许多杂草物种都具有改变生态系统功能和降低土地经济潜力的侵袭能力。虽然传统的杂草管理策略可以有效消灭某些杂草,但这些方法可能成本高昂、经济损失大、费时费力,而且长期成功率也不高。更严峻的是,一些杂草种类现在已经对一系列除草剂产生了抗药性,而除草剂迄今为止一直是控制杂草的主要机制。因此,预计新兴技术的使用将有助于为各种杂草的经济和环境可持续管理提供解决方案。特别值得关注的是,杂草检测和控制领域的新兴技术(化学、机械、电气、激光和热能)都显示出改善长期杂草管理策略的良好迹象。这些方法还可与其他技术(如人工智能或计算机视觉技术)辅助或结合使用,以提高效率。为了概述这一主题,本综述评估了一系列用于检测和控制各种杂草的新兴技术,并探讨了这些技术在田间应用所面临的挑战和机遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advancements and developments in the detection and control of invasive weeds: a global review of the current challenges and future opportunities
Weed invasion has become increasingly recognised as a major threat to the practice of sustainable agriculture and the maintenance of natural ecosystems around the world. Without effective and ongoing management strategies, many weed species have the aggressive capacity to alter ecosystem functions and reduce the economic potential of the land in which they have been introduced. Although traditional weed management strategies can be useful in eliminating certain weeds, these approaches can be costly, economically damaging, laborious and result in variable long-term success. To further add to these challenges, several weed species have now developed resistance to a range of herbicide modes of action, which, to date, have been the major mechanism of weed control. As a result, it is anticipated that the use of emerging technology will help to provide a solution for the economical and environmentally sustainable management of various weeds. Of particular interest, emerging technology in the areas of weed detection and control (chemical, mechanical, electrical, laser and thermal), have all shown promising signs of improving long-term weed management strategies. These methods can also be assisted with, or integrated alongside, other technology such as artificial intelligence or computer vision techniques for improved efficiency. To provide an overview of this topic, this review evaluates a range of emerging technology used for the detection and control of various weeds and explores the challenges and opportunities of their application within the field.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Weed Science
Weed Science 农林科学-农艺学
CiteScore
4.60
自引率
12.00%
发文量
64
审稿时长
12-24 weeks
期刊介绍: Weed Science publishes original research and scholarship in the form of peer-reviewed articles focused on fundamental research directly related to all aspects of weed science in agricultural systems. Topics for Weed Science include: - the biology and ecology of weeds in agricultural, forestry, aquatic, turf, recreational, rights-of-way and other settings, genetics of weeds - herbicide resistance, chemistry, biochemistry, physiology and molecular action of herbicides and plant growth regulators used to manage undesirable vegetation - ecology of cropping and other agricultural systems as they relate to weed management - biological and ecological aspects of weed control tools including biological agents, and herbicide resistant crops - effect of weed management on soil, air and water.
×
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:481959085
Book学术官方微信