Handling Severity Levels of Multiple Co-Occurring Cotton Plant Diseases Using Improved YOLOX Model
Author:
Affiliation:
1. Department of Electrical Engineering, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
2. Department of Biomedical Engineering, NFC Institute of Engineering and Technology, Multan, Pakistan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09999667.pdf?arnumber=9999667
Reference42 articles.
1. Rapid Detection of Rice Disease Based on FCM-KM and Faster R-CNN Fusion
2. SIoU loss: More powerful learning for bounding box regression;gevorgyan;arXiv 2205 12740,2022
3. Granulated RCNN and Multi-Class Deep SORT for Multi-Object Detection and Tracking
4. Binary cross entropy with deep learning technique for image classification;ruby;Int J Adv Trends Comput Sci Eng,2020
5. A Recognition Method for Rice Plant Diseases and Pests Video Detection Based on Deep Convolutional Neural Network
Cited by 21 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. An automatic classification framework for identifying type of plant leaf diseases using multi-scale feature fusion-based adaptive deep network;Biomedical Signal Processing and Control;2024-09
2. Analysis on Early Prediction of Cotton Plant Leaf Diseases Using CatBoost Algorithm;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10
3. Image-Based Plant Leaf Disease Detection using Deep Learning;2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT);2024-07-04
4. MobileNet-GRU fusion for optimizing diagnosis of yellow vein mosaic virus;Ecological Informatics;2024-07
5. Efficient Real-Time Detection of Plant Leaf Diseases Using YOLOv8 and Raspberry Pi;VFAST Transactions on Software Engineering;2024-06-30
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