An Efficient Approach for Plant Leaf Species Identification Based on SVM and SMO and Performance Improvement
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-6581-4_1
Reference30 articles.
1. Kumar M, Gupta S, Gao X, Singh A (2019) Plant Species recognition using morphological features and adaptive boosting methodology. IEEE Access 7:163912–163918. https://doi.org/10.1109/ACCESS.2019.2952176
2. Tan JW, Chang S-W, Abdul-Kareem S, Yap HJ, Yong K-T (2020) Deep learning for plant species classification using leaf vein morphometric. In: IEEE/ACM transactions on computational biology and bioinformatics, vol 17, no 1, pp 82–90, 1 Jan–Feb 2020. https://doi.org/10.1109/TCBB.2018.2848653
3. Singh G, Aggarwal N, Gupta K, Misra DK (2020) Plant identification using leaf specimen. In: 2020 11th International conference on computing, communication and networking technologies (ICCCNT), pp 1–7. https://doi.org/10.1109/ICCCNT49239.2020.9225683
4. Paulson A, Ravishankar S (2020) AI Based indigenous medicinal plant identification. Adv Comput Commun Technol High Perform Appl (ACCTHPA) 2020:57–63. https://doi.org/10.1109/ACCTHPA49271.2020.9213224
5. Yang C, Wei H (2019) Plant species recognition using triangle-distance representation. IEEE Access 7:178108–178120. https://doi.org/10.1109/ACCESS.2019.2958416
Cited by 3 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. Integration of Traditional Knowledge and Modern Science: A Holistic Approach to Identify Medicinal Leaves for Curing Diseases;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15
2. EfficientNet Ensemble Learning: Identifying Ethiopian Medicinal Plant Species and Traditional Uses by Integrating Modern Technology with Ethnobotanical Wisdom;Computers;2024-01-29
3. A review of spider monkey optimization: modification and its biomedical application;International Journal on Interactive Design and Manufacturing (IJIDeM);2023-12-22
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