Three-Dimensional Convolutional Neural Network Model for Early Detection of Pine Wilt Disease Using...
Three-Dimensional Convolutional Neural Network Model for Early Detection of Pine Wilt Disease Using UAV-Based Hyperspectral Images
About this item
Full title
Author / Creator
Yu, Run , Luo, Youqing , Li, Haonan , Yang, Liyuan , Huang, Huaguo , Yu, Linfeng and Ren, Lili
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
As one of the most devastating disasters to pine forests, pine wilt disease (PWD) has caused tremendous ecological and economic losses in China. An effective way to prevent large-scale PWD outbreaks is to detect and remove the damaged pine trees at the early stage of PWD infection. However, early infected pine trees do not show obvious changes in m...
Alternative Titles
Full title
Three-Dimensional Convolutional Neural Network Model for Early Detection of Pine Wilt Disease Using UAV-Based Hyperspectral Images
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_6c4b758523a3496b9a2fa453ba11552f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6c4b758523a3496b9a2fa453ba11552f
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs13204065
