利用CNN模型进行植物病害检测

Shreyas Bobde, Kavita B. Kalambe, Anurag Tripathi, Kushal Deoda, Vyankatesh Haridas
{"title":"利用CNN模型进行植物病害检测","authors":"Shreyas Bobde, Kavita B. Kalambe, Anurag Tripathi, Kushal Deoda, Vyankatesh Haridas","doi":"10.47164/ijngc.v14i1.1015","DOIUrl":null,"url":null,"abstract":"In this modern planet it is very much important to have a good and healthy life for an individual to survive. Just as we humans have a lot of diseases, similarly many diseases are found in plants too. Many models have been made who detect these diseases, but they are not able to give such good accuracy to know which disease has happened. Recognizing plant infection in crops utilizing pictures is an inherently troublesome assignment.This research demonstrates the potential of disease detection models for plant leaves. It covers a number of stages, including picture capture, classification and many more. Extensive researches have already been done by using the CNN model. We have analyzed all these CNN models and on the basis of analysis we have made our own.","PeriodicalId":42021,"journal":{"name":"International Journal of Next-Generation Computing","volume":"26 1","pages":""},"PeriodicalIF":0.3000,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Plant Disease Detection using CNN Models\",\"authors\":\"Shreyas Bobde, Kavita B. Kalambe, Anurag Tripathi, Kushal Deoda, Vyankatesh Haridas\",\"doi\":\"10.47164/ijngc.v14i1.1015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this modern planet it is very much important to have a good and healthy life for an individual to survive. Just as we humans have a lot of diseases, similarly many diseases are found in plants too. Many models have been made who detect these diseases, but they are not able to give such good accuracy to know which disease has happened. Recognizing plant infection in crops utilizing pictures is an inherently troublesome assignment.This research demonstrates the potential of disease detection models for plant leaves. It covers a number of stages, including picture capture, classification and many more. Extensive researches have already been done by using the CNN model. We have analyzed all these CNN models and on the basis of analysis we have made our own.\",\"PeriodicalId\":42021,\"journal\":{\"name\":\"International Journal of Next-Generation Computing\",\"volume\":\"26 1\",\"pages\":\"\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2023-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Next-Generation Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47164/ijngc.v14i1.1015\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Next-Generation Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47164/ijngc.v14i1.1015","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

在这个现代星球上,一个人要想生存,拥有一个良好健康的生活是非常重要的。就像我们人类有很多疾病一样,植物也有很多疾病。已经建立了许多模型来检测这些疾病,但它们不能给出如此好的准确性来知道哪种疾病发生了。利用图片识别作物的植物侵染是一项棘手的任务。本研究证明了植物叶片疾病检测模型的潜力。它涵盖了许多阶段,包括图片捕获,分类等等。利用CNN模型已经做了大量的研究。我们分析了所有这些CNN模型,并在分析的基础上做出了自己的模型。
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
Plant Disease Detection using CNN Models
In this modern planet it is very much important to have a good and healthy life for an individual to survive. Just as we humans have a lot of diseases, similarly many diseases are found in plants too. Many models have been made who detect these diseases, but they are not able to give such good accuracy to know which disease has happened. Recognizing plant infection in crops utilizing pictures is an inherently troublesome assignment.This research demonstrates the potential of disease detection models for plant leaves. It covers a number of stages, including picture capture, classification and many more. Extensive researches have already been done by using the CNN model. We have analyzed all these CNN models and on the basis of analysis we have made our own.
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
International Journal of Next-Generation Computing
International Journal of Next-Generation Computing COMPUTER SCIENCE, THEORY & METHODS-
自引率
66.70%
发文量
60
期刊最新文献
Integrating Smartphone Sensor Technology to Enhance Fine Motor and Working Memory Skills in Pediatric Obesity: A Gamified Approach Deep Learning based Semantic Segmentation for Buildings Detection from Remote Sensing Images Machine Learning-assisted Distance Based Residual Energy Aware Clustering Algorithm for Energy Efficient Information Dissemination in Urban VANETs High Utility Itemset Extraction using PSO with Online Control Parameter Calibration Alzheimer’s Disease Classification using Feature Enhanced Deep Convolutional Neural Networks
×
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