A sugar beet leaf disease classification method based on image processing and deep learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-13925-6.pdf
Reference75 articles.
1. Abade A, Ferreira PA, Vidal FB (2021) Plant diseases recognition on images using convolutional neural networks: a systematic review. Comput Electron Agric 185:106125. https://doi.org/10.1016/j.compag.2021.106125
2. Abbas A, Jain S, Gour M, Vankudothu S (2021) Tomato plant disease detection using transfer learning with C-GAN synthetic images. Comput Electron Agric 187:106279. https://doi.org/10.1016/j.compag.2021.106279
3. Adem K, Közkurt C (2019) Defect detection of seals in multilayer aseptic packages using deep learning. Turkish J Electr Eng Comput Sci 27(6):4220–4230
4. Agarwal M, Gupta SK, Biswas KK (2020) Development of efficient CNN model for tomato crop disease identification. Sustain Comput: Inform Syst 28:100407. https://doi.org/10.1016/j.suscom.2020.100407
5. Altas Z, Ozguven MM, Yanar Y (2018) Determination of sugar beet leaf spot disease level (Cercospora beticola Sacc.) with image processing technique by using drone. Curr Investigations Agric Curr Res 5(3):621–631. https://doi.org/10.32474/CIACR.2018.05.000214
Cited by 24 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. Harnessing image processing for precision disease diagnosis in sugar beet agriculture;Crop Design;2024-11
2. Automatic detection of grape varieties with the newly proposed CNN model using ampelographic characteristics;Scientia Horticulturae;2024-08
3. Field pea leaf disease classification using a deep learning approach;PLOS ONE;2024-07-25
4. Quality detection of alfalfa hay based on multisource information fusion: A preliminary study;BioResources;2024-05-20
5. Sugarcane Disease Detection Using Data Augmentation;Advances in Web Technologies and Engineering;2024-05-16
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