@inproceedings{0f7e9b623d94400fb9e62303f0df5176,
title = "Internet of Things for Greenhouse Monitoring System Using Deep Learning and Bot Notification Services",
abstract = "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%.",
keywords = "bot notification, deep learning, greenhouse, image processing, internet of things, tomato growth",
author = "Nuttakarn Kitpo and Yosuke Kugai and Masahiro Inoue and Taketoshi Yokemura and Shinichi Satomura",
year = "2019",
month = mar,
day = "6",
doi = "10.1109/ICCE.2019.8661999",
language = "English",
series = "2019 IEEE International Conference on Consumer Electronics, ICCE 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE International Conference on Consumer Electronics, ICCE 2019",
address = "United States",
note = "2019 IEEE International Conference on Consumer Electronics, ICCE 2019 ; Conference date: 11-01-2019 Through 13-01-2019",
}