Predicting insect outbreaks using machine learning: A mountain pine beetle case study-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Predicting insect outbreaks using machine learning: A mountain pine beetle case study

Published:2021-09-12 Issue:19 Volume:11 Page:13014-13028
ISSN:2045-7758
Container-title:Ecology and Evolution
language:en
Short-container-title:Ecol Evol

Author:

Ramazi Pouria¹²^ORCID,Kunegel‐Lion Mélodie³^ORCID,Greiner Russell²⁴^ORCID,Lewis Mark A.¹³^ORCID

Affiliation:

1. Department of Mathematical and Statistical Sciences University of Alberta Edmonton AB Canada

2. Department of Computing Science University of Alberta Edmonton AB Canada

3. Department of Biological Sciences University of Alberta Edmonton AB Canada

4. Alberta Machine Intelligence Institute Edmonton AB Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.7921

Reference58 articles.

1. An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression

2. Mapping Bugweed (Solanum mauritianum) Infestations in Pinus patula Plantations Using Hyperspectral Imagery and Support Vector Machines

3. Movement of outbreak populations of mountain pine beetle: influences of spatiotemporal patterns and climate

4. Testing the predictive performance of distribution models

5. Temporal autocorrelation functions for movement rates from global positioning system radiotelemetry data

Cited by 21 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. Environmental characteristics of primary outbreak foci of the pine-tree lappet Dendrolimus pini (Lepidoptera, Lasiocampidae);Forest Ecology and Management;2024-10

2. From Policy to Prediction: Assessing Forecasting Accuracy in an Integrated Framework with Machine Learning and Disease Models;Journal of Computational Biology;2024-08-02

3. Machine learning for pest detection and infestation prediction: A comprehensive review;WIREs Data Mining and Knowledge Discovery;2024-07-14

4. Enhancing forest insect outbreak detection by integrating tree-ring and climate variables;Journal of Forestry Research;2024-07-02

5. Predictive Model for Bark Beetle Outbreaks in European Forests;Forests;2024-06-27

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