Apple and Grape Leaf Disease Classification using MLP and CNN-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Apple and Grape Leaf Disease Classification using MLP and CNN

Published:2021-10-08 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)
language:
Short-container-title:

Author:

Ahil M N,Vanitha V,Rajathi N

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9675453/9675477/09675567.pdf?arnumber=9675567

Reference14 articles.

1. Identification and Solutions for Grape Leaf Disease Using Convolutional Neural Network (CNN)

2. SVM classifier based grape leaf disease detection

3. Grape Leaf Diseases Classification using Transfer Learning;gangwar;International Research Journal of Engineering and Technology (IRJET),2020

4. Plant Disease Detection Using CNN;kumar;Turkish Journal of Computer and Mathematics Education (TURCOMAT),2021

5. Classification of Apple Tree Leaves Diseases using Deep Learning Methods;alsayed;International Journal of Computer Science & Network Security,2021

Cited by 6 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. Black rot disease classification of apples and grapes using convolutional neural network and transfer learning;2024 8th International Conference on Image and Signal Processing and their Applications (ISPA);2024-04-21

2. Machine learning for leaf disease classification: data, techniques and applications;Artificial Intelligence Review;2023-10-18

3. Evrişimli Sinir Ağının Üzüm Bitkisi Hastalık Sınıflandırması için Kullanılması;Uludağ University Journal of The Faculty of Engineering;2023-09-03

4. Multi-Class Classification of Plant Leaf Diseases Using Feature Fusion of Deep Convolutional Neural Network and Local Binary Pattern;IEEE Access;2023

5. Identification of Macro-Nutrient Deficiency in Onion Leaves (Allium cepa L.) Using Convolutional Neural Network (CNN);2022 5th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI);2022-12-08

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