Analysis of Apple Plant Leaf Diseases Detection and Classification: A Review
Author:
Affiliation:
1. Chandigarh University,Department of Computer Science and Engineering,Punjab
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10053087/10053091/10053320.pdf?arnumber=10053320
Reference19 articles.
1. Deep Learning Convolutional Neural Network for Apple Leaves Disease Detection
2. Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks
3. Research on deep learning in apple leaf disease recognition
4. Detection of Apple Lesions in Orchards Based on Deep Learning Methods of CycleGAN and YOLOV3-Dense
5. Deep learning for apple diseases: classification and identification
Cited by 8 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. Deep Learning-Based Detection of Foliar Diseases in Apple Plants Using an Assembled CNN Model;2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN);2024-07-18
2. Feature Fusion Approach with Inception-RestNet and Canonical Correlation Analysis for Strawberry Leaf Disease Detection;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02
3. Rice Plant Leaf Disease Classification using Machine Learning Algorithm;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02
4. Enhancing Apple Quality Identification: A Multi-Layer Visual Feature Fusion Approach with Convolutional Neural Networks;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02
5. Early leaf disease detection system for smart agriculture applications;AIP Conference Proceedings;2024
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