Internet of Things for Greenhouse Monitoring System Using Deep Learning and Bot Notification Services
2019 IEEE International Conference on Consumer Electronics (ICCE)(2019)
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%.
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Key words
internet of things,bot notification,tomato growth,greenhouse,deep learning,image processing
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