Integrating machine learning, remote sensing and citizen science to create an early warning system for biodiversity-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Integrating machine learning, remote sensing and citizen science to create an early warning system for biodiversity

Published:2022-11-02 Issue:3 Volume:5 Page:307-316
ISSN:2572-2611
Container-title:PLANTS, PEOPLE, PLANET
language:en
Short-container-title:Plants People Planet

Author:

Antonelli Alexandre¹²³^ORCID,Dhanjal‐Adams Kiran L.¹^ORCID,Silvestro Daniele²⁴⁵^ORCID

Affiliation:

1. Science Directorate Royal Botanic Gardens Kew Richmond UK

2. Gothenburg Global Biodiversity Centre, Department of Biological and Environmental Sciences University of Gothenburg Gothenburg Sweden

3. Department of Biology University of Oxford Oxford UK

4. Department of Biology University of Fribourg Fribourg Switzerland

5. Swiss Institute of Bioinformatics Fribourg Switzerland

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Vetenskapsrådet

Publisher

Wiley

Subject

Horticulture,Plant Science,Ecology, Evolution, Behavior and Systematics,Forestry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppp3.10337

Reference60 articles.

1. Using inaccurate models in reinforcement learning

2. The past and future human impact on mammalian diversity

Cited by 5 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. Detecting management gaps for biodiversity conservation: An integrated assessment;Journal of Environmental Management;2024-03

2. Fair concordance between Google Trends and Danish ornithologists in the assessment of temporal trends in Danish bird populations highlights the informational value of big data;Environmental Monitoring and Assessment;2024-02-16

3. Data Science for Social Climate Change Modelling: Emerging Technologies Review;Lecture Notes on Data Engineering and Communications Technologies;2024

4. Celebrating botanic gardens;PLANTS, PEOPLE, PLANET;2023-12-18

5. Remote sensing as a tool for natural disaster risk analysis: a bibliometric review;Salud, Ciencia y Tecnología - Serie de Conferencias;2023-09-28

同舟云学术

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