Vision based Cassava Plant Leaf Disease Classification using Machine Learning Techniques-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Vision based Cassava Plant Leaf Disease Classification using Machine Learning Techniques

Published:2023-12-11 Issue: Volume:8 Page:959-964
ISSN:
Container-title:2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS)
language:
Short-container-title:

Author:

Aruna R.¹,Prabu M²,Ananthi S.³,Bharathi V.C.⁴,Sathya R.¹,Suchithra B.⁵

Affiliation:

1. Kongunadu College of Engineering and Technology,Department of IT,Trichy,Tamil Nadu,India

2. Amrita School of Computing, Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Chennai

3. Sri Eshwar College of Engineering,Department of CSE,Coimbatore

4. VIT-AP University,School of Computer Science and Engineering,Amaravati,Andhra Pradesh,India

5. Sri Eshwar College of Engineering,Department of CSE,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10404046/10404076/10404468.pdf?arnumber=10404468

Reference20 articles.

1. Enhanced Convolutional Neural Network Model for Cassava Leaf Disease Identification and Classification

2. Multilayer Convolution Neural Network for the Classification of Mango Leaves Infected by Anthracnose Disease

3. Detection of Plant Leaf-based Diseases Using Machine Learning Approach

4. A predictive machine learning application in agriculture: Cassava disease detection and classification with imbalanced dataset using convolutional neural networks

5. AI Based Automatic Crop Disease Detection System

Cited by 2 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. Cassava Plant Disease Detection Using Transfer Learning with Convolutional Neural Networks;2024 12th International Symposium on Digital Forensics and Security (ISDFS);2024-04-29

2. CNN Design with AlexNet Algorithm for Diagnosis of Diseases in Cassava Leaves;2024 International Conference on Expert Clouds and Applications (ICOECA);2024-04-18

同舟云学术

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