Presentation 2021-03-05
Counting Fruits and Flowers by Using Object Detection with Time-Lapse Camera Images
Akihiro Tanikawa, Yuma Usui, Takaya Matsumoto, Mitsuhiro Osaki, Kazuma Nishiuchi, Masahiro Fukumoto,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) It is important issues to optimize cultivation/production control and prediction of harvest time for improving agricultural income. In order to achieve the goal, it is first necessary to acquire and aggregate the growth information of crops. In this study, we focused on the number of fruits and flowers as the growth information. We investigated an image analysis method for automatically measuring the number of fruits and flowers from time-lapse camera images taken in the greenhouse.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Deep Learning / Object Detection / Faster R-CNN / Smart Agriculture
Paper # PRMU2020-87
Date of Issue 2021-02-25 (PRMU)

Conference Information
Committee PRMU / IPSJ-CVIM
Conference Date 2021/3/4(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Computer Vision and Pattern Recognition for specific environment
Chair Yoichi Sato(Univ. of Tokyo)
Vice Chair Akisato Kimura(NTT) / Masakazu Iwamura(Osaka Pref. Univ.)
Secretary Akisato Kimura(Mobility Technologies) / Masakazu Iwamura(Chubu Univ.)
Assistant Takashi Shibata(NTT) / Masashi Nishiyama(Tottori Univ.)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding / Special Interest Group on Computer Vision and Image Media
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Counting Fruits and Flowers by Using Object Detection with Time-Lapse Camera Images
Sub Title (in English)
Keyword(1) Deep Learning
Keyword(2) Object Detection
Keyword(3) Faster R-CNN
Keyword(4) Smart Agriculture
1st Author's Name Akihiro Tanikawa
1st Author's Affiliation Kochi University of Technology/Office asoT LLC(KUT/Office asoT)
2nd Author's Name Yuma Usui
2nd Author's Affiliation Kochi University of Technology/Office asoT LLC(KUT/Office asoT)
3rd Author's Name Takaya Matsumoto
3rd Author's Affiliation Kochi University of Technology/Office asoT LLC(KUT/Office asoT)
4th Author's Name Mitsuhiro Osaki
4th Author's Affiliation Citynet Inc.(Citynet)
5th Author's Name Kazuma Nishiuchi
5th Author's Affiliation Citynet Inc.(Citynet)
6th Author's Name Masahiro Fukumoto
6th Author's Affiliation Kochi University of Technology(KUT)
Date 2021-03-05
Paper # PRMU2020-87
Volume (vol) vol.120
Number (no) PRMU-409
Page pp.pp.103-108(PRMU),
#Pages 6
Date of Issue 2021-02-25 (PRMU)