Tea Leaf Disease Detection Using Deep Learning-based Convolutional Neural Networks
Author:
Affiliation:
1. Chitkara University Institute of Engineering and Technology, Chitkara University,Rajpura,Punjab,India,140401
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10263804/10263805/10263835.pdf?arnumber=10263835
Reference15 articles.
1. An overview of the use of artificial neural networks in lung cancer research
2. Lung cancer classification using neural networks for CT images
3. Detection and severity analysis of tea leaf blight based on deep learning
4. Using a multi-convolutional neural network to automatically identify small-sample tea leaf diseases
5. Onion Price Prediction Using Machine Learning Approaches
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Integrating EfficientNet and Fine-Tuned DenseNet Models for Advanced Detection and Classification of Guava Diseases;2024 International Conference on Emerging Technologies in Computer Science for Interdisciplinary Applications (ICETCS);2024-04-22
2. An Efficient Deep Learning-based VGG19 Approach for Rice Leaf Disease Classification;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05
3. Plant Disease Detection Using Small Convolutional Neural Networks;2024 Conference of Young Researchers in Electrical and Electronic Engineering (ElCon);2024-01-29
4. VGG16-Based MaizeLeafNet Model for an Efficient Multiclass Classification of Maize Leaf Diseases;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04
5. Demand Prediction of Consumer Intention to Buy Edible Items Using Machine Learning Techniques;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3