Plants Disease Identification and Classification Through Leaf Images: A Survey
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications
Link
http://link.springer.com/article/10.1007/s11831-018-9255-6/fulltext.html
Reference104 articles.
1. Bagde S, Patil S, Patil S, Patil P (2015) Artificial neural network based plant leaf disease detection. Int J Comput Sci Mob Comput 4(4):900–905
2. Weizheng S, Yachun W, Zhanliang C, Hongda W (2008) Grading method of leaf spot disease based on image processing. In: IEEE international conference on computer science and software engineering, Wuhan, Hubei, December 8, pp 491–494
3. Meunkaewjinda A, Kumsawat P, Attakitmongcol K, Srikaew A (2008) Grape leaf disease detection from color imagery using hybrid intelligent system. In: IEEE 5th international conference on electrical engineering/electronics, computer, telecommunications and information technology ECTI-CON., Krabi, pp 513–516
4. Phadikar S, Sil J, Das AK (2013) Rice diseases classification using feature selection and rule generation techniques. Comput Electron Agric 90:76–85
5. Rastogi A, Arora R, Sharma S (2015) Leaf disease detection and grading using computer vision technology and fuzzy logic. In: IEEE 2nd international conference on signal processing and integrated networks SPIN, pp 500–505
Cited by 167 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 detection for sustainable agriculture: A review of IoT-based embedded systems, cloud platforms, DL, and ML for plant disease detection;Multimedia Tools and Applications;2024-02-06
2. WECNN-PDP: Weighted Ensemble Convolutional Neural Networks Models to Improve the Plant Disease Prediction;E3S Web of Conferences;2024
3. Infected Plant Leaves Detection Using Multilayered Convolutional Neural Network and Quantum Classifier;Quantum Innovations at the Nexus of Biomedical Intelligence;2023-12-29
4. Optimized transfer learning approach for leaf disease classification in smart agriculture;Multimedia Tools and Applications;2023-12-19
5. Diseased Leaf Identification Using Bag-of-Features and Sigmoidal Spider Monkey Optimization;Lecture Notes in Electrical Engineering;2023-12-16
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