Validation of a Plant Identification Application Using Digital Images of Toxic Plants
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Toxicology
Link
https://link.springer.com/content/pdf/10.1007/s13181-022-00877-4.pdf
Reference8 articles.
1. Gummin DD, Mowry JB, Beuhler MC, Spyker DA, Brooks DE, Dibert KW, et al. 2019 annual report of the American Association of Poison Control Centers’ National Poison Data System (NPDS): 37th annual report. Clin Toxicol (Phila). 2020;58(12):1360–541. https://doi.org/10.1080/15563650.2020.1834219.
2. Bonnet P, Goëau H, Hang ST, et al. Plant identification: experts vs. machines in the era of deep learning. In: Joly A., Vrochidis S., Karatzas K., Karppinen A., Bonnet P. (eds) Multimedia tools and applications for environmental & biodiversity informatics. Multimedia Systems and Applications. Springer, Cham; 2018. pp. 131-149. https://doi.org/10.1007/978-3-319-76445-0_8
3. Mckinney PE, Gomez HF, Phillips S, Brent J. The fax machine: a new method of plant identification. Clin Toxicol. 1993;31(4):663–5. https://doi.org/10.3109/15563659309025771.
4. Barré P, Stöver BC, Müller KF, Steinhage V. LeafNet: a computer vision system for automatic plant species identification. Ecol Inform. 2017;40:50–6. https://doi.org/10.1016/j.ecoinf.2017.05.005.
5. Bonnet, P., Joly, A., Goëau, H. et al. Plant identification: man vs. machine. Multimed Tools Appl. 2016;75:1647–1665.
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. Stir Fry with a Side of Extracorporeal Membrane Oxygen: Management of Cardiogenic Shock Secondary to Unintentional Aconitine Ingestion;Wilderness & Environmental Medicine;2023-12
2. Plant identification applications do not reliably identify toxic and edible plants in the American Midwest;Clinical Toxicology;2023-07-03
3. A comparison of the accuracy of mushroom identification applications using digital photographs;Clinical Toxicology;2023-02-15
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