Hybrid CNN & Random Forest Model for Effective Tea Leaf Disease Diagnosis-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Hybrid CNN & Random Forest Model for Effective Tea Leaf Disease Diagnosis

Published:2024-01-11 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)
language:
Short-container-title:

Author:

Kumar Ravi Ranjan¹,Bhandari Rahul²,Jain Anuj Kumar³,Sharma Neha³,Sharma Vikrant⁴,Chawla Sunil³

Affiliation:

1. Chitkara University Institute of Engineering and Technology, Chitkara University,VLSI Center of Excellence,Punjab,India

2. Chandigarh University,Department of Computer Science & Engineering,Mohali,Punjab,India

3. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

4. Graphic Era Hill University,Dehradun,Uttarakhand,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10468568/10468675/10469122.pdf?arnumber=10469122

Reference19 articles.

1. Convolutional neural network based tea leaf disease prediction system on smart phone using paas cloud

2. Pixel-class prediction for nitrogen content of tea plants based on unmanned aerial vehicle images using machine learning and deep learning

3. An Efficient and Robust Random Forest Algorithm for Crop Disease Detection

4. Performance enhancement of kernelized SVM with deep learning features for tea leaf disease prediction

5. Electrochemical fingerprints identification of tea based on one-dimensional convolutional neural network

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