自动杂草检测系统综述

S. Shanmugam, E. Assunção, R. Mesquita, A. Veiros, P. Gaspar
{"title":"自动杂草检测系统综述","authors":"S. Shanmugam, E. Assunção, R. Mesquita, A. Veiros, P. Gaspar","doi":"10.18502/keg.v5i6.7046","DOIUrl":null,"url":null,"abstract":"A weed plant can be described as a plant that is unwanted at a specific location at a given time. Farmers have fought against the weed populations for as long as land has been used for food production. In conventional agriculture this weed control contributes a considerable amount to the overall cost of the produce. Automatic weed detection is one of the viable solutions for efficient reduction or exclusion of chemicals in crop production. Research studies have been focusing and combining modern approaches and proposed techniques which automatically analyze and evaluate segmented weed images. This study discusses and compares the weed control methods and gives special attention in describing the current research in automating the weed detection and control. \nKeywords: Detection, Weed, Agriculture 4.0, Computational vision, Robotics","PeriodicalId":106635,"journal":{"name":"KnE Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Automated Weed Detection Systems: A Review\",\"authors\":\"S. Shanmugam, E. Assunção, R. Mesquita, A. Veiros, P. Gaspar\",\"doi\":\"10.18502/keg.v5i6.7046\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A weed plant can be described as a plant that is unwanted at a specific location at a given time. Farmers have fought against the weed populations for as long as land has been used for food production. In conventional agriculture this weed control contributes a considerable amount to the overall cost of the produce. Automatic weed detection is one of the viable solutions for efficient reduction or exclusion of chemicals in crop production. Research studies have been focusing and combining modern approaches and proposed techniques which automatically analyze and evaluate segmented weed images. This study discusses and compares the weed control methods and gives special attention in describing the current research in automating the weed detection and control. \\nKeywords: Detection, Weed, Agriculture 4.0, Computational vision, Robotics\",\"PeriodicalId\":106635,\"journal\":{\"name\":\"KnE Engineering\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"KnE Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18502/keg.v5i6.7046\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"KnE Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18502/keg.v5i6.7046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

摘要

杂草植物可以被描述为在给定时间的特定地点不需要的植物。自从土地被用于粮食生产以来,农民就一直在与杂草作斗争。在传统农业中,这种杂草控制对产品的总成本有相当大的贡献。自动杂草检测是农作物生产中有效减少或排除化学品的可行解决方案之一。对杂草分割图像的自动分析与评价的研究一直在集中和结合现代方法和提出的技术。本文对杂草控制方法进行了讨论和比较,重点介绍了杂草自动化检测和控制的研究现状。关键词:检测,杂草,农业4.0,计算视觉,机器人
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Automated Weed Detection Systems: A Review
A weed plant can be described as a plant that is unwanted at a specific location at a given time. Farmers have fought against the weed populations for as long as land has been used for food production. In conventional agriculture this weed control contributes a considerable amount to the overall cost of the produce. Automatic weed detection is one of the viable solutions for efficient reduction or exclusion of chemicals in crop production. Research studies have been focusing and combining modern approaches and proposed techniques which automatically analyze and evaluate segmented weed images. This study discusses and compares the weed control methods and gives special attention in describing the current research in automating the weed detection and control. Keywords: Detection, Weed, Agriculture 4.0, Computational vision, Robotics
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
自引率
0.00%
发文量
0
期刊最新文献
Proximate and Sensory Analysis of Homemade Kersen (Muntingia calabura) Jam with Stevia Extract Substitution Implementation of Simagin (Industrial Internship Information System) Based on a Website at Politeknik Negeri Media Kreatif PSDKU Makassar, , Indonesia Validity, Practicality and Effectiveness of E-module Teaching Materials in the Learning Subject Applied Mathematics in Students Analysis in Making Animation Movements Using Traditional Methods (Keyframe) and Motion Capture Methods Development of Basic Housekeeping Virtual Reality Learning Module For Students
×
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