Internet of Things for Greenhouse Monitoring System Using Deep Learning and Bot Notification Services

Nuttakarn Kitpo, Yosuke Kugai, Masahiro Inoue, Taketoshi Yokemura, Shinichi Satomura

研究成果: Conference contribution

1 引用 (Scopus)

抄録

Internet of things (IoT) plays a big important role in agricultural industry recently in order to provide a support to farmers such as growth monitoring system of temperature, humidity and water supply, and also early disease monitoring and detection system. To provide a smart farming solutions, this paper proposed an IoT system with a bot notification on tomato growing stages. The tomato dataset was obtained from Shinchi Agri-Green, the tomato greenhouse in Fukushima, Japan. We trained and tested the deep learning model to detect the fruit proposal region. Then, the detected regions were classified into 6 stages of fruit growth using the visible wavelength as a feature in SVM classification with the weight accuracy of 91.5%.

元の言語English
ホスト出版物のタイトル2019 IEEE International Conference on Consumer Electronics, ICCE 2019
出版者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538679104
DOI
出版物ステータスPublished - 2019 3 6
イベント2019 IEEE International Conference on Consumer Electronics, ICCE 2019 - Las Vegas, United States
継続期間: 2019 1 112019 1 13

出版物シリーズ

名前2019 IEEE International Conference on Consumer Electronics, ICCE 2019

Conference

Conference2019 IEEE International Conference on Consumer Electronics, ICCE 2019
United States
Las Vegas
期間19/1/1119/1/13

Fingerprint

Greenhouses
Fruits
Monitoring
Water supply
Atmospheric humidity
Wavelength
Industry
Temperature
Internet of things
Deep learning

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Media Technology
  • Electrical and Electronic Engineering

これを引用

Kitpo, N., Kugai, Y., Inoue, M., Yokemura, T., & Satomura, S. (2019). Internet of Things for Greenhouse Monitoring System Using Deep Learning and Bot Notification Services. : 2019 IEEE International Conference on Consumer Electronics, ICCE 2019 [8661999] (2019 IEEE International Conference on Consumer Electronics, ICCE 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2019.8661999

Internet of Things for Greenhouse Monitoring System Using Deep Learning and Bot Notification Services. / Kitpo, Nuttakarn; Kugai, Yosuke; Inoue, Masahiro; Yokemura, Taketoshi; Satomura, Shinichi.

2019 IEEE International Conference on Consumer Electronics, ICCE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8661999 (2019 IEEE International Conference on Consumer Electronics, ICCE 2019).

研究成果: Conference contribution

Kitpo, N, Kugai, Y, Inoue, M, Yokemura, T & Satomura, S 2019, Internet of Things for Greenhouse Monitoring System Using Deep Learning and Bot Notification Services. : 2019 IEEE International Conference on Consumer Electronics, ICCE 2019., 8661999, 2019 IEEE International Conference on Consumer Electronics, ICCE 2019, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE International Conference on Consumer Electronics, ICCE 2019, Las Vegas, United States, 19/1/11. https://doi.org/10.1109/ICCE.2019.8661999
Kitpo N, Kugai Y, Inoue M, Yokemura T, Satomura S. Internet of Things for Greenhouse Monitoring System Using Deep Learning and Bot Notification Services. : 2019 IEEE International Conference on Consumer Electronics, ICCE 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8661999. (2019 IEEE International Conference on Consumer Electronics, ICCE 2019). https://doi.org/10.1109/ICCE.2019.8661999
Kitpo, Nuttakarn ; Kugai, Yosuke ; Inoue, Masahiro ; Yokemura, Taketoshi ; Satomura, Shinichi. / Internet of Things for Greenhouse Monitoring System Using Deep Learning and Bot Notification Services. 2019 IEEE International Conference on Consumer Electronics, ICCE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 IEEE International Conference on Consumer Electronics, ICCE 2019).
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