DETECTION OF PLANT LEAF DISEASES USING IMAGE PROCESSING

H. Sneha, S. Bagal
{"title":"DETECTION OF PLANT LEAF DISEASES USING IMAGE PROCESSING","authors":"H. Sneha, S. Bagal","doi":"10.31838/jcr.07.06.310","DOIUrl":null,"url":null,"abstract":"Identifying the plant diseases is the key to preventing the losses in the yield and quantity of the agricultural product. to study the plant diseases mean the studies of visually observable patterns seen on the plant. Most of the time reasons for plant diseases are bacteria, fungi, and viruses. Now a day An automatic detection of plant disease is a necessary. Computer vision techniques are used to uncover the affected spots from the image through an image processing technique capable of recognizing the plant lesion options.","PeriodicalId":13793,"journal":{"name":"International Journal of Advance Research and Innovative Ideas in Education","volume":"65 1","pages":"168-170"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advance Research and Innovative Ideas in Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31838/jcr.07.06.310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Identifying the plant diseases is the key to preventing the losses in the yield and quantity of the agricultural product. to study the plant diseases mean the studies of visually observable patterns seen on the plant. Most of the time reasons for plant diseases are bacteria, fungi, and viruses. Now a day An automatic detection of plant disease is a necessary. Computer vision techniques are used to uncover the affected spots from the image through an image processing technique capable of recognizing the plant lesion options.
利用图像处理技术检测植物叶片病害
植物病害的识别是防止农产品产量和数量损失的关键。对植物病害的研究是指对植物上肉眼可见的规律的研究。大多数时候,植物病害的原因是细菌、真菌和病毒。现在每天对植物病害进行自动检测是必要的。通过能够识别植物病变选项的图像处理技术,使用计算机视觉技术从图像中发现受影响的斑点。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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