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

20 被引用数 (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%.

本文言語English
ホスト出版物のタイトル2019 IEEE International Conference on Consumer Electronics, ICCE 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538679104
DOI
出版ステータス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
国/地域United States
CityLas Vegas
Period19/1/1119/1/13

ASJC Scopus subject areas

  • 産業および生産工学
  • メディア記述
  • 電子工学および電気工学

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