An efficient approach to monitoring pine wilt disease severity based on random sampling plots and UAV imagery

Saved in:
Bibliographic Details
Published in:Ecological indicators 2023-12, Vol.156, p.111215, Article 111215
Main Authors: Chen, Yiqiao, Yan, Enping, Jiang, Jiawei, Zhang, Guozhen, Mo, Dengkui
Format: Article
Language:English
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c300t-61cb62431a1042f9c00a68c2be5231aca8c97cef667a4f54ba2d681dfc3f27f03
cites cdi_FETCH-LOGICAL-c300t-61cb62431a1042f9c00a68c2be5231aca8c97cef667a4f54ba2d681dfc3f27f03
container_end_page
container_issue
container_start_page 111215
container_title Ecological indicators
container_volume 156
creator Chen, Yiqiao
Yan, Enping
Jiang, Jiawei
Zhang, Guozhen
Mo, Dengkui
description
doi_str_mv 10.1016/j.ecolind.2023.111215
format article
fullrecord <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_1016_j_ecolind_2023_111215</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_1016_j_ecolind_2023_111215</sourcerecordid><originalsourceid>FETCH-LOGICAL-c300t-61cb62431a1042f9c00a68c2be5231aca8c97cef667a4f54ba2d681dfc3f27f03</originalsourceid><addsrcrecordid>eNotkMtqwzAQRbVooWnaTyjMD9jVyLYcL03oCwLdNKU7IctSKmNLRhIt-fs6TVbDHO4dhkPIA9IcKfLHIdfKj9b1OaOsyBGRYXVFVljWNENOv27IbYwDXbJNw1dkah1oY6yy2iWQ8xy8VN-QPEze2eSDdQeYrdPwa8cEvY1aRg1R_-hg0xG6ZevBOwjS9X6CKKd5_O-MPkVYIOzbT7CTPOhwvCPXRo5R31_mmuyfnz62r9nu_eVt2-4yVVCaMo6q46wsUCItmWkUpZJvFOt0xRao5EY1tdKG81qWpio7yXq-wd6owrDa0GJNqvNdFXyMQRsxh-WFcBRIxcmTGMTFkzh5EmdPxR-ReWKU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>An efficient approach to monitoring pine wilt disease severity based on random sampling plots and UAV imagery</title><source>ScienceDirect Journals</source><creator>Chen, Yiqiao ; Yan, Enping ; Jiang, Jiawei ; Zhang, Guozhen ; Mo, Dengkui</creator><creatorcontrib>Chen, Yiqiao ; Yan, Enping ; Jiang, Jiawei ; Zhang, Guozhen ; Mo, Dengkui</creatorcontrib><identifier>ISSN: 1470-160X</identifier><identifier>DOI: 10.1016/j.ecolind.2023.111215</identifier><language>eng</language><ispartof>Ecological indicators, 2023-12, Vol.156, p.111215, Article 111215</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c300t-61cb62431a1042f9c00a68c2be5231aca8c97cef667a4f54ba2d681dfc3f27f03</citedby><cites>FETCH-LOGICAL-c300t-61cb62431a1042f9c00a68c2be5231aca8c97cef667a4f54ba2d681dfc3f27f03</cites><orcidid>0000-0001-7894-0359</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Chen, Yiqiao</creatorcontrib><creatorcontrib>Yan, Enping</creatorcontrib><creatorcontrib>Jiang, Jiawei</creatorcontrib><creatorcontrib>Zhang, Guozhen</creatorcontrib><creatorcontrib>Mo, Dengkui</creatorcontrib><title>An efficient approach to monitoring pine wilt disease severity based on random sampling plots and UAV imagery</title><title>Ecological indicators</title><issn>1470-160X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNotkMtqwzAQRbVooWnaTyjMD9jVyLYcL03oCwLdNKU7IctSKmNLRhIt-fs6TVbDHO4dhkPIA9IcKfLHIdfKj9b1OaOsyBGRYXVFVljWNENOv27IbYwDXbJNw1dkah1oY6yy2iWQ8xy8VN-QPEze2eSDdQeYrdPwa8cEvY1aRg1R_-hg0xG6ZevBOwjS9X6CKKd5_O-MPkVYIOzbT7CTPOhwvCPXRo5R31_mmuyfnz62r9nu_eVt2-4yVVCaMo6q46wsUCItmWkUpZJvFOt0xRao5EY1tdKG81qWpio7yXq-wd6owrDa0GJNqvNdFXyMQRsxh-WFcBRIxcmTGMTFkzh5EmdPxR-ReWKU</recordid><startdate>202312</startdate><enddate>202312</enddate><creator>Chen, Yiqiao</creator><creator>Yan, Enping</creator><creator>Jiang, Jiawei</creator><creator>Zhang, Guozhen</creator><creator>Mo, Dengkui</creator><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0001-7894-0359</orcidid></search><sort><creationdate>202312</creationdate><title>An efficient approach to monitoring pine wilt disease severity based on random sampling plots and UAV imagery</title><author>Chen, Yiqiao ; Yan, Enping ; Jiang, Jiawei ; Zhang, Guozhen ; Mo, Dengkui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c300t-61cb62431a1042f9c00a68c2be5231aca8c97cef667a4f54ba2d681dfc3f27f03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Yiqiao</creatorcontrib><creatorcontrib>Yan, Enping</creatorcontrib><creatorcontrib>Jiang, Jiawei</creatorcontrib><creatorcontrib>Zhang, Guozhen</creatorcontrib><creatorcontrib>Mo, Dengkui</creatorcontrib><collection>CrossRef</collection><jtitle>Ecological indicators</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Yiqiao</au><au>Yan, Enping</au><au>Jiang, Jiawei</au><au>Zhang, Guozhen</au><au>Mo, Dengkui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An efficient approach to monitoring pine wilt disease severity based on random sampling plots and UAV imagery</atitle><jtitle>Ecological indicators</jtitle><date>2023-12</date><risdate>2023</risdate><volume>156</volume><spage>111215</spage><pages>111215-</pages><artnum>111215</artnum><issn>1470-160X</issn><doi>10.1016/j.ecolind.2023.111215</doi><orcidid>https://orcid.org/0000-0001-7894-0359</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1470-160X
ispartof Ecological indicators, 2023-12, Vol.156, p.111215, Article 111215
issn 1470-160X
language eng
recordid cdi_crossref_primary_10_1016_j_ecolind_2023_111215
source ScienceDirect Journals
title An efficient approach to monitoring pine wilt disease severity based on random sampling plots and UAV imagery
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T02%3A55%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20efficient%20approach%20to%20monitoring%20pine%20wilt%20disease%20severity%20based%20on%20random%20sampling%20plots%20and%20UAV%20imagery&rft.jtitle=Ecological%20indicators&rft.au=Chen,%20Yiqiao&rft.date=2023-12&rft.volume=156&rft.spage=111215&rft.pages=111215-&rft.artnum=111215&rft.issn=1470-160X&rft_id=info:doi/10.1016/j.ecolind.2023.111215&rft_dat=%3Ccrossref%3E10_1016_j_ecolind_2023_111215%3C/crossref%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c300t-61cb62431a1042f9c00a68c2be5231aca8c97cef667a4f54ba2d681dfc3f27f03%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true