Presentation 2021-01-28
Detection System of Dead Trees Due to Pine Wilt Disease by Using Images Taken by a Drone
Kazunori Murata, Haruo Kaneko, Masanobu Kobayashi, Masato Koyama, Takeshi Yajima, Koji Tokaji, Tomoyasu Ichikawa, Kenta Yamamukai, Hiroki Ito, Kenichi Yanagisawa, Yasushi Fuwa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We are developing a system to detect dead pine trees from aerial images taken from a drone by using an artificial intelligence to realize an efficient detection of dead pine trees. Substantially expansion of monitoring areas are expected. Positions of detected trees are indicated on maps in this system. Suitable flight conditions such as the flight heights and the image resolutions were revealed in several practises with drones. Aerial images were devided in small parts and used as learning data to build a neural network. Observed trees are classified by the neural network in four states which correspond to felling works.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Drone / AI / Pine wilt disease
Paper # CAS2020-45,ICTSSL2020-30
Date of Issue 2021-01-21 (CAS, ICTSSL)

Conference Information
Committee CAS / ICTSSL
Conference Date 2021/1/28(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Students session, General session
Chair Yasuhiro Takashima(Univ. of Kitakyushu) / Hiroshi Tamura(Chuo Univ.)
Vice Chair Hiroki Sato(Sony LSI Design) / Koichi Gyoda(Shibaura Inst. of Tech.) / Munenari Inoguchi(Toyama Univ.)
Secretary Hiroki Sato(Yamanashi Univ.) / Koichi Gyoda(Sony LSI Design) / Munenari Inoguchi(Synspective)
Assistant Motoi Yamaguchi(TECHNOPRO) / Yohei Nakamura(Hitachi) / Shunichi Yokoyama(NIED)

Paper Information
Registration To Technical Committee on Circuits and Systems / Technical Committee on Information and Communication Technologies for Safe and Secure Life
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Detection System of Dead Trees Due to Pine Wilt Disease by Using Images Taken by a Drone
Sub Title (in English)
Keyword(1) Drone
Keyword(2) AI
Keyword(3) Pine wilt disease
1st Author's Name Kazunori Murata
1st Author's Affiliation The Nagano Economic Research Institute(The Nagano Economic Research Institute)
2nd Author's Name Haruo Kaneko
2nd Author's Affiliation Shiojiri City Office(Shiojiri City)
3rd Author's Name Masanobu Kobayashi
3rd Author's Affiliation Calico Limited(Calico)
4th Author's Name Masato Koyama
4th Author's Affiliation Calico Limited(Calico)
5th Author's Name Takeshi Yajima
5th Author's Affiliation Koden Electronics Co., Ltd.(Koden Electronics)
6th Author's Name Koji Tokaji
6th Author's Affiliation Koden Electronics Co., Ltd.(Koden Electronics)
7th Author's Name Tomoyasu Ichikawa
7th Author's Affiliation Tokyo Aircraft Instrument Co.,Ltd.(Tokyo Aircraft Instrument)
8th Author's Name Kenta Yamamukai
8th Author's Affiliation Tokyo Aircraft Instrument Co.,Ltd.(Tokyo Aircraft Instrument)
9th Author's Name Hiroki Ito
9th Author's Affiliation TKK Works Co., Ltd.(TKK Works)
10th Author's Name Kenichi Yanagisawa
10th Author's Affiliation Nagano Prefecture Forestry Research Center(Nagano Prefecture Forestry Research Center)
11th Author's Name Yasushi Fuwa
11th Author's Affiliation Shinshu University(Shinshu University)
Date 2021-01-28
Paper # CAS2020-45,ICTSSL2020-30
Volume (vol) vol.120
Number (no) CAS-346,ICTSSL-347
Page pp.pp.37-39(CAS), pp.37-39(ICTSSL),
#Pages 3
Date of Issue 2021-01-21 (CAS, ICTSSL)