A Study on Comparative Analysis of Machine Learning and Image Processing Techniques for Identifying Plant Leaf Disease
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0838-7_62
Reference21 articles.
1. Sardogan M, Tuncer A, Ozen Y (2018) Plant leaf disease detection and classification based on CNN with LVQ algorithm. In: 2018 3rd international conference on computer science and engineering (UBMK), pp 382–385. https://doi.org/10.1109/UBMK.2018.8566635; Author F, Author S (2016) Title of a proceedings paper. In: Editor F, Editor S (eds) CONFERENCE 2016. LNCS, vol 9999, pp 1–13. Springer, Heidelberg
2. Pradhan P, Kumar B (2022) Automatic detection of tomato diseases using fine-tuned pre-trained deep learning models. In: 2022 3rd international conference for emerging technology (INCET), pp 1–5. https://doi.org/10.1109/INCET54531.2022.9825376; Author F (2010). Contribution title. In: 9th International Proceedings on Proceedings, pp. 1–2. Publisher, Location
3. Manick, Srivastava J (2022) Cassava leaf disease detection using deep learning. In: 2022 IEEE international IOT, electronics and mechatronics conference (IEMTRONICS), pp 1–7.https://doi.org/10.1109/IEMTRONICS55184.2022.9795751
4. Surya R, Gautama E (2020) Cassava leaf disease detection using convolutional neural networks. In: 2020 6th international conference on science in information technology (ICSITech), pp 97–102. https://doi.org/10.1109/ICSITech49800.2020.9392051
5. Tm P, Pranathi A, SaiAshritha K, Chittaragi NB, Koolagudi SG (2018) Tomato leaf disease detection using convolutional neural networks. In: 2018 eleventh international conference on contemporary computing (IC3), pp 1–5. https://doi.org/10.1109/IC3.2018.8530532
Cited by 2 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. Late Leaf Spot Detection and Its Effect on Pod Quality of Groundnut Plants Using Deep Neural Networks: A Review;Lecture Notes in Networks and Systems;2024
2. Image-Based Plant Disease Detection Using Deep Learning;2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS);2023-12-14
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