SmartCitrus: An Efficient Deep Learning Approach for Real-Time Detection and Classification of Citrus Leaf Diseases-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

SmartCitrus: An Efficient Deep Learning Approach for Real-Time Detection and Classification of Citrus Leaf Diseases

Published:2024-03-08 Issue: Volume:153 Page:1-6
ISSN:
Container-title:2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS)
language:
Short-container-title:

Author:

Emon Shaharear Hossain¹,Islam Iftea Khairul¹,Nahin Tasfia Jahan¹,Ahmed Ahnaf Mahdin¹,Orchi Nabiha Tasnim²,Alam Md Ashraful²,Dipto Shakib Mahmud³

Affiliation:

1. Brac University,Dept. of Computer Science and Engineering,Dhaka,Bangladesh

2. Brac University,CVIS Research Lab,Dept. of Computer Science and Engineering,Dhaka,Bangladesh

3. University of Liberal Arts,Dept. of Computer Science and Engineering,Dhaka,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10499437/10499447/10499517.pdf?arnumber=10499517

Reference27 articles.

1. An automated detection and classification of citrus plant diseases using image processing techniques: A review;Iqbal;Computers and electronics in agriculture,2018

2. The role of image enhancement in citrus canker disease detection;Padmavathi;International Journal Of Advanced Computer Science And Applications,2016

3. Automatic citrus canker detection from leaf images captured in field;Zhang;Pattern Recognition Letters,2011

4. Detection and Classification Techniques of Citrus Leaves Diseases: A Survey;Saini;Turkish Journal of Computer and Mathematics Education (TURCOMAT),2021

5. Classification of citrus plant diseases using deep transfer learning;Rehman;Computers, Materials & Continua,2022

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