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J-GLOBAL ID：202002229252198650   Reference number：20A1495786

Performance of Support Vector Machines, Artificial Neural Network, and Random Forest for Identifying Banana Fusarium Wilt Using UAV-Based Multi-spectral Imagery

UAVベースマルチスペクトル画像を用いたバナナ萎凋病を同定するためのサポートベクトルマシン,人工ニューラルネットワークおよびランダムフォレストの性能【JST・京大機械翻訳】

Author (13)： Ye Huichun (Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China) ,  Ye Huichun (Key Laboratory of Earth Observation, Sanya, Hainan, China) ,  Cui Bei (Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China) ,  Cui Bei (Key Laboratory of Earth Observation, Sanya, Hainan, China) ,  Huang Shanyu (Chinese Academy of Agricultural Engineering Planning and Design, Beijing, China) ,  Dong Yingying (Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China) ,  Huang Wenjiang (Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China) ,  Huang Wenjiang (Key Laboratory of Earth Observation, Sanya, Hainan, China) ,  Guo Anting (Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China) ,  Guo Anting (University of Chinese Academy of Sciences, Beijing, China) ,  Ren Yu (Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China) ,  Ren Yu (University of Chinese Academy of Sciences, Beijing, China) ,  Jin Yu (School of Electronics and Information Engineering, Anhui University, Hefei, China)
Material： Lecture Notes in Electrical Engineering
Volume： 657  Page： 261-270  Publication year： 2020 
JST Material Number： W5070A  ISSN： 1876-1100  Document type： Proceedings
Article type： 原著論文  Country of issue： Germany, Federal Republic of (DEU)  Language： ENGLISH (EN)

Abstract/Point： Abstract: The Fusarium wilt of...

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Thesaurus term： crop (agriculture) ,  *neural network (biomodel) ,  *banana ,  pixel ,  remote sensing ,  remotely piloted vehicle ,  *wilt disease ,  *support vector machine ,  *multi-spectrum ,  Fusarium ,  microorganism ,  Deuteromycetes ,  Hyphomycetes
Semi thesaurus term： Fusarium ,  *マルチスペクトル画像 ,  *ランダムフォレスト ,  リモートセンシング画像 , 【Automatic Indexing@JST】

Author keywords (5)： Fusarium wilt ,  Multi-spectral remote sensing ,  Support vector machines ,  Artificial neural network ,  Random forest

JST classification (3)： Fruit trees  (FC03042G) ,  Plant diseases caused by fungi  (FC04052Y) ,  Biological pest control  (FC05030B)

Terms in the title (8)： UAV ,  マルチスペクトル画像 ,  バナナ ,  萎凋病 ,  同定 ,  サポートベクトルマシン ,  人工ニューラルネットワーク ,  ランダムフォレスト