Residual Skip Network-Based Super-Resolution for Leaf Disease Detection of Grape Plant
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s00034-023-02430-2.pdf
Reference60 articles.
1. S. Abbas, M. Jain, S. Gour, Vankudothu, Tomato plant disease detection using transfer learning with C-GAN synthetic images. Comput. Electron. Agric. 187, 106279 (2021)
2. R. Abiantun, F. Juefei-Xu, U. Prabhu, M. Savvides, SSR2: Sparse signal recovery for single-image super-resolution on faces with extreme low resolutions. Pattern Recogn. 90, 308–324 (2019). https://doi.org/10.1016/J.PATCOG.2019.01.032
3. J. Adhikari, A.R. Sarkar, M.R. Uddin, U.K. Sarker, K. Hossen, U. Rosemila, Effect of nitrogen fertilizer and weed management on the yield of transplant aman rice. J. Bangladesh Agric. Univ. 16(1), 12–16 (2018). https://doi.org/10.3329/jbau.v16i1.36473
4. N. Agrawal, J. Singhai, D.K. Agarwal, Grape leaf disease detection and classification using multi-class support vector machine, in International conference on recent innovations in signal processing and embedded systems, RISE 2017, 2018-January, 238–244 (2018). https://doi.org/10.1109/RISE.2017.8378160
5. P.V. Arun, I. Herrmann, K.M. Budhiraju, A. Karnieli, Convolutional network architectures for super-resolution/sub-pixel mapping of drone-derived images. Pattern Recogn. 88, 431–446 (2019). https://doi.org/10.1016/J.PATCOG.2018.11.033
Cited by 16 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. Explaining deep learning-based leaf disease identification;Soft Computing;2024-07-29
2. From leaf to harvest: achieving sustainable agriculture through advanced disease prediction with DBN‐EKELM;Journal of the Science of Food and Agriculture;2024-06-26
3. A dual-track feature fusion model utilizing Group Shuffle Residual DeformNet and swin transformer for the classification of grape leaf diseases;Scientific Reports;2024-06-24
4. ASFESRN: bridging the gap in real-time corn leaf disease detection with image super-resolution;Multimedia Systems;2024-06-14
5. Image Classification for Monkey type Detection using Thirty six Fold Perpetuated Residual Network (TSFPRN);2024 International Conference on Integrated Circuits, Communication, and Computing Systems (ICIC3S);2024-06-08
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