基于机器学习的叶片病害检测系统

Swati Tiwari, Pranjal Patle, Pranshu Patle, Kuldeep Sonkusare, Pranali Mungate
{"title":"基于机器学习的叶片病害检测系统","authors":"Swati Tiwari, Pranjal Patle, Pranshu Patle, Kuldeep Sonkusare, Pranali Mungate","doi":"10.33130/ajct.2023v09i01.002","DOIUrl":null,"url":null,"abstract":"—Our country's main business is agriculture. The majority of people reside in rural regions and rely solely on agricultural products for their livelihood. The quality and yield of agricultural goods will decline in any plant that has the disease. Research and illness detection are therefore crucial. For disease to be successfully controlled and inhibited for practical cultivation and food preservation, genuine crop disease exposure and identification are essential. For farmers to succeed, early illness detection and diagnosis are essential.","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Leaf Diseases Detection System Using Machine Learning\",\"authors\":\"Swati Tiwari, Pranjal Patle, Pranshu Patle, Kuldeep Sonkusare, Pranali Mungate\",\"doi\":\"10.33130/ajct.2023v09i01.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"—Our country's main business is agriculture. The majority of people reside in rural regions and rely solely on agricultural products for their livelihood. The quality and yield of agricultural goods will decline in any plant that has the disease. Research and illness detection are therefore crucial. For disease to be successfully controlled and inhibited for practical cultivation and food preservation, genuine crop disease exposure and identification are essential. For farmers to succeed, early illness detection and diagnosis are essential.\",\"PeriodicalId\":138101,\"journal\":{\"name\":\"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33130/ajct.2023v09i01.002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33130/ajct.2023v09i01.002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

我们国家的主要产业是农业。大多数人居住在农村地区,完全依靠农产品为生。任何患病植物的农产品质量和产量都会下降。因此,研究和疾病检测至关重要。为了在实际种植和食品保存中成功地控制和抑制病害,真正的作物病害暴露和鉴定是必不可少的。农民要想取得成功,早期疾病检测和诊断至关重要。
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
Leaf Diseases Detection System Using Machine Learning
—Our country's main business is agriculture. The majority of people reside in rural regions and rely solely on agricultural products for their livelihood. The quality and yield of agricultural goods will decline in any plant that has the disease. Research and illness detection are therefore crucial. For disease to be successfully controlled and inhibited for practical cultivation and food preservation, genuine crop disease exposure and identification are essential. For farmers to succeed, early illness detection and diagnosis are essential.
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
A Detailed Literature Survey and In-depth Analysis of Existing Methods for the Detection of Lung cancer Bucket Filling Algorithm LOCK MART - SMART LOCKER SYSTEM A systematic review of similar Questions Retrieval Approaches HANDLING BIG TABULAR DATA OF ICT SUPPLY CHAINS: A MULTI-TASK, MACHINE-INTERPRETABLE APPROACH
×
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