Automatic Detection of Leaf Disease Using CNN Algorithm
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-7106-0_24
Reference7 articles.
1. H. Sabrol, K. Satish, Tomato plant disease classification in digital images using classification tree, in 2016 International Conference on Communication and Signal Processing (ICCSP) (IEEE, 2016), pp. 1242–1246
2. C. DeChant, T. Wiesner-Hanks, S. Chen, E.L. Stewart, J. Yosinski, M.A. Gore, R.J. Nelson, H. Lipson, Automated identification of northern leaf blight-infected maize plants from field imagery using deep learning. Phytopathology 107(11), 1426–1432 (2017)
3. X. Zhang, Y. Qiao, F. Meng, C. Fan, M. Zhang, Identification of maize leaf diseases using improved deep convolutional neural networks. IEEE Access 6, 30370–30377 (2018)
4. Y. Zhong, M. Zhao, Research on Deep Learning in Apple Leaf Disease Recognition, vol. 168 (Elsevier, China, 2020)
5. T.T. Santos, L.L.de Souza, A.A. dos Santos, S. Avila, Grape Detection, Segmentation, and Tracking Using Deep Neural Networks and Three-Dimensional Association, vol. 170 (Elsevier, Brazil, 2020)
Cited by 13 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 optimal model for identification and classification of corn leaf disease using hybrid 3D-CNN and LSTM;Biomedical Signal Processing and Control;2024-06
2. Harmonizing Nature and Technology: CNN-SVM for Cercospora Leaf Spot Disease Recognition in Chilli Plants;2023 4th IEEE Global Conference for Advancement in Technology (GCAT);2023-10-06
3. A novel CNN gap layer for growth prediction of palm tree plantlings;PLOS ONE;2023-08-11
4. Apple Leaf Disease Recognition: A Robust Federated Learning CNN Methodology;2023 International Conference on Circuit Power and Computing Technologies (ICCPCT);2023-08-10
5. Plant Leaf Diseases Detection Using Deep Learning Algorithms;Lecture Notes in Electrical Engineering;2023
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