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

6 引用 (Scopus)

抜粋

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

ASJC Scopus subject areas

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

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  • 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