Deep Learning Approaches for Plant Disease Detection: A Comparative Review
Author:
Affiliation:
1. G H Raisoni College of Engineering,Department of Computer Science and Engineering,Nagpur,India,440016
2. G H Raisoni College of Engineering,Department of Artificial Intelligence,Nagpur,India,440016
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10062451/10062959/10063036.pdf?arnumber=10063036
Reference46 articles.
1. Disease detection on the leaves of the tomato plants by using deep learning;durmu?;Proceedings of the 2017 6th International Conference on Agro-Geoinformatics,2017
2. Imagenet classification with deep convolutional neural networks;krizhevsky;Proceedings of the 25th International Conference on Neural Information Processing Systems-Volume 1,2012
3. Comparison of CNN models for application in crop health assessment with participatory sensing
4. A deep learning-based approach for banana leaf disease classification;amara;Datenbanksysteme für Business Technologie und Web (BTW 2017),2017
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. Intelligent Parking Systems Design Using IOT and AI;2024 International Conference on Innovations and Challenges in Emerging Technologies (ICICET);2024-06-07
2. Analysis of Computational Model for Detection and Recognition of Human Activity Using Deep Learning;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24
3. Real-Time Sign Language Interpreter Using MediaPipe, Dynamic Time Warping, and NLP;Algorithms for Intelligent Systems;2024
4. Plant Disease Classification and Segmentation Using a Hybrid Computer-Aided Model Using GAN and Transfer Learning;Lecture Notes in Networks and Systems;2024
5. Artificial Driving based EfficientNet for Automatic Plant Leaf Disease Classification;Multimedia Tools and Applications;2023-10-04
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